{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\au220338\OneDrive - Aarhus Universitet\Paper 1\BJPS R&R\Final submission files\Replication data\Log-file.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}18 Mar 2022, 11:33:30

{com}. do "C:\Users\au220338\OneDrive - Aarhus Universitet\Paper 1\BJPS R&R\Final submission files\Replication data\Measuring Ethnic Inequality Do 17-03-2022.do"
{txt}
{com}. use "Measuring Ethnic Inequality Dataset 17-03-2022" 
{txt}
{com}. 
. * NOTE: The do-file requires "worldcoor.dta" to be in the same folder to reproduce Figures with maps 
. 
. *************************************
. ************** Dataset **************
. *************************************
. 
. *** linear interpolation of Alesina et al (2016)
. by country_id: ipolate ethg year, gen(ethg_ip)
{txt}(24439 missing values generated)

{com}. by country_id: ipolate grg year, gen(grg_ip)
{txt}(24439 missing values generated)

{com}. 
. *** Rename Cederman et al. (2013) data
. gen low_ratio = NHIxl if year >=1990
{txt}(25,030 missing values generated)

{com}. 
. * Rescale V-Dem variable
. generate SEI = ((v2peapssoc-3.37)/(-3.135-3.37)*(1-0)+0)
{txt}(9,915 missing values generated)

{com}. 
. * Generate standardized variables
. egen z_ethg =std(ethg), mean(0) std(1)
{txt}(27553 missing values generated)

{com}. egen z_ethg_ip =std(ethg_ip), mean(0) std(1)
{txt}(24439 missing values generated)

{com}. egen z_low_ratio =std(low_ratio), mean(0) std(1)
{txt}(25030 missing values generated)

{com}. egen z_lbgi1 =std(lbgi1), mean(0) std(1)
{txt}(26431 missing values generated)

{com}. egen z_SEI =std(SEI), mean(0) std(1)
{txt}(9915 missing values generated)

{com}. egen z_ggini =std(ggini), mean(0) std(1)
{txt}(23818 missing values generated)

{com}. 
. label variable z_ethg "Alesina et al."
{txt}
{com}. label variable z_ethg_ip "Alesina et al."
{txt}
{com}. label variable z_low_ratio "Cederman et al."
{txt}
{com}. label variable z_lbgi1 "Houle"
{txt}
{com}. label variable z_SEI "V-Dem"
{txt}
{com}. label variable z_ggini "Omoeva et al."
{txt}
{com}. label variable betweenstd "Baldwin and Huber"
{txt}
{com}. 
. 
. 
. ********************************************************************************
. *********************** Figure 2: Temporal coverage ****************************
. ********************************************************************************
. gen ethg_obs = 1 if ethg!=.
{txt}(27,553 missing values generated)

{com}. replace ethg_obs=0 if ethg==.
{txt}(27,553 real changes made)

{com}. 
. gen low_ratio_obs = 1 if low_ratio!=.
{txt}(25,030 missing values generated)

{com}. replace low_ratio_obs=0 if low_ratio==.
{txt}(25,030 real changes made)

{com}. 
. gen lbgi1_obs = 1 if lbgi1!=.
{txt}(26,431 missing values generated)

{com}. replace lbgi1_obs=0 if lbgi1==.
{txt}(26,431 real changes made)

{com}. 
. gen betweenstd_obs = 1 if betweenstd!=.
{txt}(28,026 missing values generated)

{com}. replace betweenstd_obs=0 if betweenstd==.
{txt}(28,026 real changes made)

{com}. 
. gen ggini_obs = 1 if ggini!=.
{txt}(23,818 missing values generated)

{com}. replace ggini_obs=0 if ggini==.
{txt}(23,818 real changes made)

{com}. 
. gen SEI_obs = 1 if SEI!=.
{txt}(9,915 missing values generated)

{com}. replace SEI_obs=0 if SEI==.
{txt}(9,915 real changes made)

{com}. 
. 
. bys year: egen ethg_total_obs = total(ethg_obs)
{txt}
{com}. recode ethg_total_obs (0=.)
{txt}(ethg_total_obs: 27376 changes made)

{com}. label variable ethg_total_obs "Alesina et al."
{txt}
{com}. 
. bys year: egen low_ratio_total_obs = total(low_ratio_obs)
{txt}
{com}. recode low_ratio_total_obs (0=.)
{txt}(low_ratio_total_obs: 23432 changes made)

{com}. label variable low_ratio_total_obs "Cederman et al."
{txt}
{com}. 
. bys year: egen lbgi1_total_obs = total(lbgi1_obs)
{txt}
{com}. recode lbgi1_total_obs (0=.)
{txt}(lbgi1_total_obs: 16936 changes made)

{com}. label variable lbgi1_total_obs "Houle"
{txt}
{com}. 
. bys year: egen betweenstd_total_obs = total(betweenstd_obs)
{txt}
{com}. recode betweenstd_total_obs (0=.)
{txt}(betweenstd_total_obs: 26216 changes made)

{com}. label variable betweenstd_total_obs "Baldwin and Huber"
{txt}
{com}. 
. bys year: egen SEI_total_obs = total(SEI_obs)
{txt}
{com}. recode SEI_total_obs (0=.)
{txt}(SEI_total_obs: 0 changes made)

{com}. label variable SEI_total_obs "V-Dem"
{txt}
{com}. 
. bys year: egen ggini_total_obs = total(ggini_obs)
{txt}
{com}. recode ggini_total_obs (0=.)
{txt}(ggini_total_obs: 12296 changes made)

{com}. label variable ggini_total_obs "Omoeva et al."
{txt}
{com}. 
. sort country_id year
{txt}
{com}. 
. twoway (tsline ethg_total_obs, recast(scatter)) (tsline low_ratio_total_obs, recast(scatter)) (tsline lbgi1_total_obs, recast(scatter)) (tsline SEI_total_obs, recast(scatter)) (tsline ggini_total_obs, recast(scatter)) (tsline betweenstd_total_obs, recast(scatter)), xlabel(1900(20)2020, nogrid) ylabel(, nogrid) scheme(plottig) ytitle("No. of countries covered") xtitle("Year") graphregion(lcolor(black) lwidth(tiny))
{p 0 4 2}
{txt}(note:  named style
tiny not found in class
linewidth,  default attributes used)
{p_end}
{com}{txt}{p 0 8} (note:  linewidth  {com}{txt}not found in scheme, default attributes used){p_end}
{res}{txt}
{com}. 
. graph export Figure_2.png, width(4000) replace
{txt}(note: file Figure_2.png not found)
(file Figure_2.png written in PNG format)

{com}.                 
. *****************************************************************
. *********** Figure 3: Temporal variation, Bolivia ***************
. *****************************************************************
. 
. tsline z_ethg z_low_ratio z_lbgi1 z_SEI z_ggini if country_name == "Bolivia", scheme(plottig) xlabel(1900(50)2020, nogrid) ylabel(, nogrid) xtitle("Year") ytitle("Std. score") graphregion(lcolor(black) lwidth(tiny)) name(graph12)
{p 0 4 2}
{txt}(note:  named style
tiny not found in class
linewidth,  default attributes used)
{p_end}
{com}{txt}{p 0 8} (note:  linewidth  {com}{txt}not found in scheme, default attributes used){p_end}
{res}{txt}
{com}. graph display graph12, scale(1.2) ysize(2) xsize(4)
{res}{txt}
{com}. 
. graph export Figure_3.png, width(4000) replace
{txt}(note: file Figure_3.png not found)
(file Figure_3.png written in PNG format)

{com}. 
. ******************************************************************************
. ************** Table 3: Correlation analysis *********************************
. ******************************************************************************
. 
. *** Correlation analysis
. pwcorr ethg low_ratio lbgi1 betweenstd SEI ggini, obs

             {txt}{c |}     ethg low_ra~o    lbgi1 betwee~d      SEI    ggini
{hline 13}{c +}{hline 54}
        ethg {c |} {res}  1.0000 
             {txt}{c |}{res}      519
             {txt}{c |}
   low_ratio {c |} {res}  0.1568   1.0000 
             {txt}{c |}{res}      295     3042
             {txt}{c |}
       lbgi1 {c |} {res}  0.0052   0.1209   1.0000 
             {txt}{c |}{res}      102      970     1641
             {txt}{c |}
  betweenstd {c |} {res}       .   0.0442   0.0059   1.0000 
             {txt}{c |}{res}        0       46       30       46
             {txt}{c |}
         SEI {c |} {res}  0.5533   0.0529   0.3126   0.6389   1.0000 
             {txt}{c |}{res}      484     3042     1641       46    18157
             {txt}{c |}
       ggini {c |} {res}  0.4004  -0.0729   0.2953   0.0464   0.1739   1.0000 
             {txt}{c |}{res}      160     1380      750       21     3983     4254
             {txt}{c |}

{com}. matrix list r(C), format(%4.2f)
{res}
{txt}symmetric r(C)[6,6]
                  ethg   low_ratio       lbgi1  betweenstd         SEI       ggini
      ethg {res}       1.00
{txt} low_ratio {res}       0.16        1.00
{txt}     lbgi1 {res}       0.01        0.12        1.00
{txt}betweenstd {res}          .        0.04        0.01        1.00
{txt}       SEI {res}       0.55        0.05        0.31        0.64        1.00
{txt}     ggini {res}       0.40       -0.07        0.30        0.05        0.17        1.00
{reset}
{com}. 
. *** factor analysis (PCA)
. factor ethg_ip low_ratio lbgi1 SEI ggini, pcf
{txt}(obs=415)

Factor analysis/correlation{col 50}Number of obs    = {res}       415
{col 5}{txt}Method: principal-component factors{col 50}Retained factors =   {res}       2
{col 5}{txt}Rotation: (unrotated){col 50}Number of params =   {res}       9

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}     Factor  {c |} {ralign 12:Eigenvalue}   Difference        Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 11:Factor1}  {c |}{res}      2.03622      0.80674            0.4072       0.4072
{txt}{col 5}{ralign 11:Factor2}  {c |}{res}      1.22948      0.35803            0.2459       0.6531
{txt}{col 5}{ralign 11:Factor3}  {c |}{res}      0.87145      0.35246            0.1743       0.8274
{txt}{col 5}{ralign 11:Factor4}  {c |}{res}      0.51899      0.17513            0.1038       0.9312
{txt}{col 5}{ralign 11:Factor5}  {c |}{res}      0.34386            .            0.0688       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}
{col 5}LR test: independent vs. saturated:  chi2({res}10{txt}) ={res}  389.11{txt} Prob>chi2 ={res} 0.0000

{txt}Factor loadings (pattern matrix) and unique variances

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{c  TT}{hline 14}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Factor1}{space 1}{space 1}{ralign 8:Factor2}{space 1}{c |}{space 1}{ralign 12:Uniqueness}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{c   +}{hline 14}
{space 4}{space 0}{ralign 12:ethg_ip}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.8175}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3322}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.2213}}}{space 1}
{space 4}{space 0}{ralign 12:low_ratio}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5336}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6780}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.2556}}}{space 1}
{space 4}{space 0}{ralign 12:lbgi1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6733}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5019}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.2948}}}{space 1}
{space 4}{space 0}{ralign 12:SEI}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5823}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.6278}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.2668}}}{space 1}
{space 4}{space 0}{ralign 12:ggini}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5392}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1161}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.6958}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{c  BT}{hline 14}

{com}. 
. 
. 
. ************************************************************************************
. ************* Figure 4: Maps with Alesina et al. and Cederman et al. ***************
. ************************************************************************************
. 
. spmap z_ethg using worldcoor.dta if year ==2000, id(map_id) fcolor(Blues2) osize(vvthin vvthin vvthin vvthin) ndsize(vvthin) clmethod(quantile) title("Alesina et al.") name(map1)
{res}{txt}
{com}. spmap z_low_ratio using worldcoor.dta if year ==2000, id(map_id) fcolor(Blues2) osize(vvthin vvthin vvthin vvthin) ndsize(vvthin) clmethod(quantile) title("Cederman et al.") name(map2)
{res}{txt}
{com}. 
. graph combine map1 map2, rows(2) graphregion(color(white))
{res}{txt}
{com}. 
. graph export Figure_4.png, width(4000) replace
{txt}(note: file Figure_4.png not found)
(file Figure_4.png written in PNG format)

{com}. 
. *********************************************************************
. ************** Figure 5: Replication Alesina et al. 2016 *************
. *********************************************************************
. 
. * Ensure sample overlap
. replace lnrgdppcch2000 =. if year!=2000
{txt}(346 real changes made, 346 to missing)

{com}. 
. * Replication of Alesina et al. 2016: GDP per capita
. 
. xi: areg  lnrgdppcch2000        z_ethg, a(region) robust
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       173
{txt}Absorbed variable: {bf:region}{col 49}No. of categories{col 67}= {res}         8
{txt}{col 49}F({res}   1{txt},{res}    164{txt}){col 67}= {res}     24.85
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.6700
{txt}{col 49}Adj R-squared{col 67}= {res}    0.6539
{txt}{col 49}Root MSE{col 67}= {res}    0.7983

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}lnrgdpp~2000{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}z_ethg {c |}{col 14}{res}{space 2}-.3881648{col 26}{space 2} .0778626{col 37}{space 1}   -4.99{col 46}{space 3}0.000{col 54}{space 4}-.5419072{col 67}{space 3}-.2344224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 8.447972{col 26}{space 2} .0605068{col 37}{space 1}  139.62{col 46}{space 3}0.000{col 54}{space 4} 8.328499{col 67}{space 3} 8.567444
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo m1
{txt}
{com}. 
. xi: areg  lnrgdppcch2000        z_low_ratio, a(region) robust
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       149
{txt}Absorbed variable: {bf:region}{col 49}No. of categories{col 67}= {res}         8
{txt}{col 49}F({res}   1{txt},{res}    140{txt}){col 67}= {res}      1.74
{txt}{col 49}Prob > F{col 67}= {res}    0.1890
{txt}{col 49}R-squared{col 67}= {res}    0.6705
{txt}{col 49}Adj R-squared{col 67}= {res}    0.6517
{txt}{col 49}Root MSE{col 67}= {res}    0.7995

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}lnrgdpp~2000{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}z_low_ratio {c |}{col 14}{res}{space 2} .0738593{col 26}{space 2} .0559517{col 37}{space 1}    1.32{col 46}{space 3}0.189{col 54}{space 4}-.0367602{col 67}{space 3} .1844787
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  8.33677{col 26}{space 2} .0656337{col 37}{space 1}  127.02{col 46}{space 3}0.000{col 54}{space 4} 8.207008{col 67}{space 3} 8.466531
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo m2
{txt}
{com}. 
. xi: areg  lnrgdppcch2000        z_lbgi1, a(region) robust
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}        55
{txt}Absorbed variable: {bf:region}{col 49}No. of categories{col 67}= {res}         8
{txt}{col 49}F({res}   1{txt},{res}     46{txt}){col 67}= {res}      7.27
{txt}{col 49}Prob > F{col 67}= {res}    0.0098
{txt}{col 49}R-squared{col 67}= {res}    0.7988
{txt}{col 49}Adj R-squared{col 67}= {res}    0.7638
{txt}{col 49}Root MSE{col 67}= {res}    0.5909

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}lnrgdpp~2000{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}z_lbgi1 {c |}{col 14}{res}{space 2} .3460945{col 26}{space 2} .1283805{col 37}{space 1}    2.70{col 46}{space 3}0.010{col 54}{space 4} .0876779{col 67}{space 3} .6045111
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 8.689106{col 26}{space 2} .0781383{col 37}{space 1}  111.20{col 46}{space 3}0.000{col 54}{space 4} 8.531822{col 67}{space 3}  8.84639
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo m3
{txt}
{com}. 
. xi: areg  lnrgdppcch2000        z_SEI, a(region) robust
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       162
{txt}Absorbed variable: {bf:region}{col 49}No. of categories{col 67}= {res}         8
{txt}{col 49}F({res}   1{txt},{res}    153{txt}){col 67}= {res}     49.57
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.7279
{txt}{col 49}Adj R-squared{col 67}= {res}    0.7137
{txt}{col 49}Root MSE{col 67}= {res}    0.7360

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}lnrgdpp~2000{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}z_SEI {c |}{col 14}{res}{space 2}-.7081998{col 26}{space 2} .1005866{col 37}{space 1}   -7.04{col 46}{space 3}0.000{col 54}{space 4}-.9069178{col 67}{space 3}-.5094818
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 8.010251{col 26}{space 2} .0784346{col 37}{space 1}  102.13{col 46}{space 3}0.000{col 54}{space 4} 7.855296{col 67}{space 3} 8.165205
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo m4
{txt}
{com}. 
. xi: areg  lnrgdppcch2000        z_ggini, a(region) robust
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}        74
{txt}Absorbed variable: {bf:region}{col 49}No. of categories{col 67}= {res}         7
{txt}{col 49}F({res}   1{txt},{res}     66{txt}){col 67}= {res}      0.80
{txt}{col 49}Prob > F{col 67}= {res}    0.3743
{txt}{col 49}R-squared{col 67}= {res}    0.6216
{txt}{col 49}Adj R-squared{col 67}= {res}    0.5814
{txt}{col 49}Root MSE{col 67}= {res}    0.7165

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}lnrgdpp~2000{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}z_ggini {c |}{col 14}{res}{space 2}-.1386786{col 26}{space 2}  .155027{col 37}{space 1}   -0.89{col 46}{space 3}0.374{col 54}{space 4}   -.4482{col 67}{space 3} .1708427
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 7.532906{col 26}{space 2} .0741568{col 37}{space 1}  101.58{col 46}{space 3}0.000{col 54}{space 4} 7.384848{col 67}{space 3} 7.680965
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo m5
{txt}
{com}. 
. coefplot (m1, label(Alesina et al.)) (m2, label(Cederman et al.)) (m3, label(Houle)) (m4, label(V-Dem)) (m5, label(Omoeva et al.)), keep(z_ethg z_low_ratio z_lbgi1 z_SEI z_ggini) vertical yline(0) xtitle("") xlabel("") title("") scheme(plottig) graphregion(lcolor(black) lwidth(tiny)) name(graph1)
{res}{p 0 4 2}
{txt}(note:  named style
tiny not found in class
linewidth,  default attributes used)
{p_end}
{com}{txt}{p 0 8} (note:  linewidth  {com}{txt}not found in scheme, default attributes used){p_end}
{res}{txt}
{com}. 
. graph display graph1, scale(1.5) ysize(2) xsize(4)
{res}{txt}
{com}. 
. graph export Figure_5.png, width(4000) replace
{txt}(note: file Figure_5.png not found)
(file Figure_5.png written in PNG format)

{com}. 
. ************************************************************
. ************** Figure 6: Replication Houle 2015 *************
. ************************************************************
. 
. *Replication of Houle 2015: Democratic Breakdown
. 
. probit autocracy z_ethg_ip lwgi1 c.z_ethg_ip#c.lwgi1 loilincome lethnici lgdptreis lonegrowthtreis lmoslemi lwpch lagedem sizedom western share if ldemocracy==1, cluster(cowcode)

{txt}note: western != 0 predicts failure perfectly
      western dropped and 176 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-48.255079}  
Iteration 1:{space 3}log pseudolikelihood = {res:-39.425225}  
Iteration 2:{space 3}log pseudolikelihood = {res:-37.985865}  
Iteration 3:{space 3}log pseudolikelihood = {res: -37.93714}  
Iteration 4:{space 3}log pseudolikelihood = {res:-37.937045}  
Iteration 5:{space 3}log pseudolikelihood = {res:-37.937045}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}       710
{txt}{col 49}Wald chi2({res}12{txt}){col 67}= {res}     73.51
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-37.937045{txt}{col 49}Pseudo R2{col 67}= {res}    0.2138

{txt}{ralign 85:(Std. Err. adjusted for {res:57} clusters in cowcode)}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}          autocracy{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}z_ethg_ip {c |}{col 21}{res}{space 2}  .323938{col 33}{space 2} .3011115{col 44}{space 1}    1.08{col 53}{space 3}0.282{col 61}{space 4}-.2662296{col 74}{space 3} .9141057
{txt}{space 14}lwgi1 {c |}{col 21}{res}{space 2} 3.090317{col 33}{space 2} 1.650183{col 44}{space 1}    1.87{col 53}{space 3}0.061{col 61}{space 4}-.1439813{col 74}{space 3} 6.324616
{txt}{space 19} {c |}
c.z_ethg_ip#c.lwgi1 {c |}{col 21}{res}{space 2}-.4791367{col 33}{space 2} .8621385{col 44}{space 1}   -0.56{col 53}{space 3}0.578{col 61}{space 4}-2.168897{col 74}{space 3} 1.210624
{txt}{space 19} {c |}
{space 9}loilincome {c |}{col 21}{res}{space 2} .4007239{col 33}{space 2} .4209365{col 44}{space 1}    0.95{col 53}{space 3}0.341{col 61}{space 4}-.4242965{col 74}{space 3} 1.225744
{txt}{space 11}lethnici {c |}{col 21}{res}{space 2}-.0132988{col 33}{space 2} .0106544{col 44}{space 1}   -1.25{col 53}{space 3}0.212{col 61}{space 4} -.034181{col 74}{space 3} .0075835
{txt}{space 10}lgdptreis {c |}{col 21}{res}{space 2}  .034524{col 33}{space 2} .2715914{col 44}{space 1}    0.13{col 53}{space 3}0.899{col 61}{space 4}-.4977855{col 74}{space 3} .5668334
{txt}{space 4}lonegrowthtreis {c |}{col 21}{res}{space 2}-.0225945{col 33}{space 2} .0149933{col 44}{space 1}   -1.51{col 53}{space 3}0.132{col 61}{space 4}-.0519809{col 74}{space 3} .0067918
{txt}{space 11}lmoslemi {c |}{col 21}{res}{space 2} .0050363{col 33}{space 2} .0047081{col 44}{space 1}    1.07{col 53}{space 3}0.285{col 61}{space 4}-.0041913{col 74}{space 3} .0142639
{txt}{space 14}lwpch {c |}{col 21}{res}{space 2} 6.614719{col 33}{space 2} 6.688207{col 44}{space 1}    0.99{col 53}{space 3}0.323{col 61}{space 4}-6.493927{col 74}{space 3} 19.72336
{txt}{space 12}lagedem {c |}{col 21}{res}{space 2} .0124364{col 33}{space 2} .0123362{col 44}{space 1}    1.01{col 53}{space 3}0.313{col 61}{space 4}-.0117421{col 74}{space 3} .0366149
{txt}{space 12}sizedom {c |}{col 21}{res}{space 2}-2.622737{col 33}{space 2} .8030928{col 44}{space 1}   -3.27{col 53}{space 3}0.001{col 61}{space 4}-4.196769{col 74}{space 3}-1.048704
{txt}{space 12}western {c |}{col 21}{res}{space 2}        0{col 33}{txt}  (omitted)
{space 14}share {c |}{col 21}{res}{space 2}  .376004{col 33}{space 2}  .422104{col 44}{space 1}    0.89{col 53}{space 3}0.373{col 61}{space 4}-.4513047{col 74}{space 3} 1.203313
{txt}{space 14}_cons {c |}{col 21}{res}{space 2}-5.500956{col 33}{space 2}  5.03174{col 44}{space 1}   -1.09{col 53}{space 3}0.274{col 61}{space 4}-15.36299{col 74}{space 3} 4.361074
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo m11
{txt}
{com}. 
. probit autocracy z_low_ratio lwgi1 c.z_low_ratio#c.lwgi1 loilincome lethnici lgdptreis lonegrowthtreis lmoslemi lwpch lagedem sizedom western share if ldemocracy==1, cluster(cowcode)

{txt}note: western != 0 predicts failure perfectly
      western dropped and 198 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-57.625684}  
Iteration 1:{space 3}log pseudolikelihood = {res:-47.077336}  
Iteration 2:{space 3}log pseudolikelihood = {res:-45.355893}  
Iteration 3:{space 3}log pseudolikelihood = {res:-45.327995}  
Iteration 4:{space 3}log pseudolikelihood = {res:-45.327921}  
Iteration 5:{space 3}log pseudolikelihood = {res:-45.327921}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}       768
{txt}{col 49}Wald chi2({res}12{txt}){col 67}= {res}     50.50
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-45.327921{txt}{col 49}Pseudo R2{col 67}= {res}    0.2134

{txt}{ralign 87:(Std. Err. adjusted for {res:58} clusters in cowcode)}
{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}            autocracy{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}z_low_ratio {c |}{col 23}{res}{space 2}-.7399174{col 35}{space 2} .9083814{col 46}{space 1}   -0.81{col 55}{space 3}0.415{col 63}{space 4}-2.520312{col 76}{space 3} 1.040477
{txt}{space 16}lwgi1 {c |}{col 23}{res}{space 2} 4.298429{col 35}{space 2} 1.512177{col 46}{space 1}    2.84{col 55}{space 3}0.004{col 63}{space 4} 1.334616{col 76}{space 3} 7.262241
{txt}{space 21} {c |}
c.z_low_ratio#c.lwgi1 {c |}{col 23}{res}{space 2}  3.39282{col 35}{space 2}  2.61162{col 46}{space 1}    1.30{col 55}{space 3}0.194{col 63}{space 4}-1.725862{col 76}{space 3} 8.511502
{txt}{space 21} {c |}
{space 11}loilincome {c |}{col 23}{res}{space 2} .1225754{col 35}{space 2} .4699528{col 46}{space 1}    0.26{col 55}{space 3}0.794{col 63}{space 4}-.7985151{col 76}{space 3} 1.043666
{txt}{space 13}lethnici {c |}{col 23}{res}{space 2}-.0093365{col 35}{space 2} .0103814{col 46}{space 1}   -0.90{col 55}{space 3}0.368{col 63}{space 4}-.0296836{col 76}{space 3} .0110106
{txt}{space 12}lgdptreis {c |}{col 23}{res}{space 2}  .146827{col 35}{space 2} .1886305{col 46}{space 1}    0.78{col 55}{space 3}0.436{col 63}{space 4} -.222882{col 76}{space 3} .5165359
{txt}{space 6}lonegrowthtreis {c |}{col 23}{res}{space 2} .0036139{col 35}{space 2} .0301424{col 46}{space 1}    0.12{col 55}{space 3}0.905{col 63}{space 4}-.0554641{col 76}{space 3} .0626918
{txt}{space 13}lmoslemi {c |}{col 23}{res}{space 2} .0054481{col 35}{space 2} .0058934{col 46}{space 1}    0.92{col 55}{space 3}0.355{col 63}{space 4}-.0061027{col 76}{space 3}  .016999
{txt}{space 16}lwpch {c |}{col 23}{res}{space 2} -3.58007{col 35}{space 2} 2.764173{col 46}{space 1}   -1.30{col 55}{space 3}0.195{col 63}{space 4} -8.99775{col 76}{space 3}  1.83761
{txt}{space 14}lagedem {c |}{col 23}{res}{space 2} .0187819{col 35}{space 2} .0110672{col 46}{space 1}    1.70{col 55}{space 3}0.090{col 63}{space 4}-.0029094{col 76}{space 3} .0404732
{txt}{space 14}sizedom {c |}{col 23}{res}{space 2}-2.621339{col 35}{space 2} .9345221{col 46}{space 1}   -2.81{col 55}{space 3}0.005{col 63}{space 4}-4.452969{col 76}{space 3}-.7897092
{txt}{space 14}western {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
{space 16}share {c |}{col 23}{res}{space 2} .2013805{col 35}{space 2} .4095129{col 46}{space 1}    0.49{col 55}{space 3}0.623{col 63}{space 4}  -.60125{col 76}{space 3} 1.004011
{txt}{space 16}_cons {c |}{col 23}{res}{space 2}-1.116203{col 35}{space 2} 1.738961{col 46}{space 1}   -0.64{col 55}{space 3}0.521{col 63}{space 4}-4.524503{col 76}{space 3} 2.292097
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo m12
{txt}
{com}. 
. probit autocracy z_lbgi1 lwgi1 c.z_lbgi1#c.lwgi1 loilincome lethnici lgdptreis lonegrowthtreis lmoslemi lwpch lagedem sizedom western share if ldemocracy==1, cluster(cowcode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-183.54683}  
Iteration 1:{space 3}log pseudolikelihood = {res:-146.26827}  
Iteration 2:{space 3}log pseudolikelihood = {res:-138.32951}  
Iteration 3:{space 3}log pseudolikelihood = {res:-137.72516}  
Iteration 4:{space 3}log pseudolikelihood = {res:-137.70985}  
Iteration 5:{space 3}log pseudolikelihood = {res:-137.70985}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}     1,607
{txt}{col 49}Wald chi2({res}13{txt}){col 67}= {res}    127.06
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-137.70985{txt}{col 49}Pseudo R2{col 67}= {res}    0.2497

{txt}{ralign 83:(Std. Err. adjusted for {res:71} clusters in cowcode)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}        autocracy{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}z_lbgi1 {c |}{col 19}{res}{space 2} 1.072324{col 31}{space 2} .2282759{col 42}{space 1}    4.70{col 51}{space 3}0.000{col 59}{space 4} .6249113{col 72}{space 3} 1.519736
{txt}{space 12}lwgi1 {c |}{col 19}{res}{space 2}  2.27604{col 31}{space 2} .8952422{col 42}{space 1}    2.54{col 51}{space 3}0.011{col 59}{space 4} .5213976{col 72}{space 3} 4.030682
{txt}{space 17} {c |}
c.z_lbgi1#c.lwgi1 {c |}{col 19}{res}{space 2} -2.93126{col 31}{space 2} .6405867{col 42}{space 1}   -4.58{col 51}{space 3}0.000{col 59}{space 4}-4.186787{col 72}{space 3}-1.675733
{txt}{space 17} {c |}
{space 7}loilincome {c |}{col 19}{res}{space 2} -.397428{col 31}{space 2} .2892532{col 42}{space 1}   -1.37{col 51}{space 3}0.169{col 59}{space 4}-.9643537{col 72}{space 3} .1694978
{txt}{space 9}lethnici {c |}{col 19}{res}{space 2}-.0072846{col 31}{space 2}  .005729{col 42}{space 1}   -1.27{col 51}{space 3}0.204{col 59}{space 4}-.0185132{col 72}{space 3}  .003944
{txt}{space 8}lgdptreis {c |}{col 19}{res}{space 2}-.1003489{col 31}{space 2} .1746905{col 42}{space 1}   -0.57{col 51}{space 3}0.566{col 59}{space 4} -.442736{col 72}{space 3} .2420381
{txt}{space 2}lonegrowthtreis {c |}{col 19}{res}{space 2} .0195595{col 31}{space 2} .0201939{col 42}{space 1}    0.97{col 51}{space 3}0.333{col 59}{space 4}-.0200199{col 72}{space 3} .0591388
{txt}{space 9}lmoslemi {c |}{col 19}{res}{space 2} .0016904{col 31}{space 2} .0025136{col 42}{space 1}    0.67{col 51}{space 3}0.501{col 59}{space 4}-.0032363{col 72}{space 3} .0066171
{txt}{space 12}lwpch {c |}{col 19}{res}{space 2}-4.680237{col 31}{space 2} .7984247{col 42}{space 1}   -5.86{col 51}{space 3}0.000{col 59}{space 4} -6.24512{col 72}{space 3}-3.115353
{txt}{space 10}lagedem {c |}{col 19}{res}{space 2}-.0077397{col 31}{space 2} .0061708{col 42}{space 1}   -1.25{col 51}{space 3}0.210{col 59}{space 4}-.0198341{col 72}{space 3} .0043548
{txt}{space 10}sizedom {c |}{col 19}{res}{space 2}-1.760511{col 31}{space 2} .4305859{col 42}{space 1}   -4.09{col 51}{space 3}0.000{col 59}{space 4}-2.604444{col 72}{space 3}-.9165785
{txt}{space 10}western {c |}{col 19}{res}{space 2} -.770076{col 31}{space 2} .4897842{col 42}{space 1}   -1.57{col 51}{space 3}0.116{col 59}{space 4}-1.730035{col 72}{space 3} .1898833
{txt}{space 12}share {c |}{col 19}{res}{space 2}  -.08446{col 31}{space 2} .2288603{col 42}{space 1}   -0.37{col 51}{space 3}0.712{col 59}{space 4} -.533018{col 72}{space 3} .3640979
{txt}{space 12}_cons {c |}{col 19}{res}{space 2} 1.973524{col 31}{space 2} 1.651326{col 42}{space 1}    1.20{col 51}{space 3}0.232{col 59}{space 4}-1.263016{col 72}{space 3} 5.210063
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo m13
{txt}
{com}. 
. probit autocracy z_SEI lwgi1 c.z_SEI#c.lwgi1 loilincome lethnici lgdptreis lonegrowthtreis lmoslemi lwpch lagedem sizedom western share if ldemocracy==1, cluster(cowcode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-183.54683}  
Iteration 1:{space 3}log pseudolikelihood = {res:-148.51216}  
Iteration 2:{space 3}log pseudolikelihood = {res:-141.05797}  
Iteration 3:{space 3}log pseudolikelihood = {res:-140.48388}  
Iteration 4:{space 3}log pseudolikelihood = {res:-140.46395}  
Iteration 5:{space 3}log pseudolikelihood = {res: -140.4639}  
Iteration 6:{space 3}log pseudolikelihood = {res: -140.4639}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}     1,607
{txt}{col 49}Wald chi2({res}13{txt}){col 67}= {res}    113.96
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res} -140.4639{txt}{col 49}Pseudo R2{col 67}= {res}    0.2347

{txt}{ralign 81:(Std. Err. adjusted for {res:71} clusters in cowcode)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      autocracy{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}z_SEI {c |}{col 17}{res}{space 2} .7667478{col 29}{space 2} .3773193{col 40}{space 1}    2.03{col 49}{space 3}0.042{col 57}{space 4} .0272157{col 70}{space 3}  1.50628
{txt}{space 10}lwgi1 {c |}{col 17}{res}{space 2} 2.096238{col 29}{space 2} .8584696{col 40}{space 1}    2.44{col 49}{space 3}0.015{col 57}{space 4} .4136683{col 70}{space 3} 3.778807
{txt}{space 15} {c |}
c.z_SEI#c.lwgi1 {c |}{col 17}{res}{space 2}-1.618813{col 29}{space 2} .8841827{col 40}{space 1}   -1.83{col 49}{space 3}0.067{col 57}{space 4}-3.351779{col 70}{space 3} .1141531
{txt}{space 15} {c |}
{space 5}loilincome {c |}{col 17}{res}{space 2}-.1455843{col 29}{space 2} .2007158{col 40}{space 1}   -0.73{col 49}{space 3}0.468{col 57}{space 4}  -.53898{col 70}{space 3} .2478114
{txt}{space 7}lethnici {c |}{col 17}{res}{space 2} -.012513{col 29}{space 2} .0067642{col 40}{space 1}   -1.85{col 49}{space 3}0.064{col 57}{space 4}-.0257706{col 70}{space 3} .0007446
{txt}{space 6}lgdptreis {c |}{col 17}{res}{space 2}-.0543953{col 29}{space 2} .1786795{col 40}{space 1}   -0.30{col 49}{space 3}0.761{col 57}{space 4}-.4046006{col 70}{space 3} .2958101
{txt}lonegrowthtreis {c |}{col 17}{res}{space 2} .0221736{col 29}{space 2} .0210894{col 40}{space 1}    1.05{col 49}{space 3}0.293{col 57}{space 4}-.0191608{col 70}{space 3}  .063508
{txt}{space 7}lmoslemi {c |}{col 17}{res}{space 2} .0022428{col 29}{space 2} .0025569{col 40}{space 1}    0.88{col 49}{space 3}0.380{col 57}{space 4}-.0027686{col 70}{space 3} .0072543
{txt}{space 10}lwpch {c |}{col 17}{res}{space 2}-3.586456{col 29}{space 2} .8549088{col 40}{space 1}   -4.20{col 49}{space 3}0.000{col 57}{space 4}-5.262046{col 70}{space 3}-1.910865
{txt}{space 8}lagedem {c |}{col 17}{res}{space 2}-.0092777{col 29}{space 2} .0068385{col 40}{space 1}   -1.36{col 49}{space 3}0.175{col 57}{space 4}-.0226808{col 70}{space 3} .0041255
{txt}{space 8}sizedom {c |}{col 17}{res}{space 2}-1.545562{col 29}{space 2} .5018805{col 40}{space 1}   -3.08{col 49}{space 3}0.002{col 57}{space 4} -2.52923{col 70}{space 3}-.5618942
{txt}{space 8}western {c |}{col 17}{res}{space 2}-.3863856{col 29}{space 2} .5167912{col 40}{space 1}   -0.75{col 49}{space 3}0.455{col 57}{space 4}-1.399278{col 70}{space 3} .6265066
{txt}{space 10}share {c |}{col 17}{res}{space 2} .2003722{col 29}{space 2} .2410589{col 40}{space 1}    0.83{col 49}{space 3}0.406{col 57}{space 4}-.2720945{col 70}{space 3}  .672839
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} 1.042215{col 29}{space 2} 1.723797{col 40}{space 1}    0.60{col 49}{space 3}0.545{col 57}{space 4}-2.336366{col 70}{space 3} 4.420795
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo m14
{txt}
{com}. 
. probit autocracy z_ggini lwgi1 c.z_ggini#c.lwgi1 loilincome lethnici lgdptreis lonegrowthtreis lmoslemi lwpch lagedem sizedom western share if ldemocracy==1, cluster(cowcode)

{txt}note: western != 0 predicts failure perfectly
      western dropped and 47 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-110.90053}  
Iteration 1:{space 3}log pseudolikelihood = {res:-92.320152}  
Iteration 2:{space 3}log pseudolikelihood = {res:-90.272313}  
Iteration 3:{space 3}log pseudolikelihood = {res:-90.248308}  
Iteration 4:{space 3}log pseudolikelihood = {res:-90.248304}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}       694
{txt}{col 49}Wald chi2({res}12{txt}){col 67}= {res}     80.24
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-90.248304{txt}{col 49}Pseudo R2{col 67}= {res}    0.1862

{txt}{ralign 83:(Std. Err. adjusted for {res:42} clusters in cowcode)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}        autocracy{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}z_ggini {c |}{col 19}{res}{space 2} .8054389{col 31}{space 2} .4695069{col 42}{space 1}    1.72{col 51}{space 3}0.086{col 59}{space 4}-.1147777{col 72}{space 3} 1.725656
{txt}{space 12}lwgi1 {c |}{col 19}{res}{space 2} 1.710032{col 31}{space 2} 1.044778{col 42}{space 1}    1.64{col 51}{space 3}0.102{col 59}{space 4}-.3376953{col 72}{space 3}  3.75776
{txt}{space 17} {c |}
c.z_ggini#c.lwgi1 {c |}{col 19}{res}{space 2}-1.925417{col 31}{space 2} 1.116462{col 42}{space 1}   -1.72{col 51}{space 3}0.085{col 59}{space 4}-4.113643{col 72}{space 3} .2628091
{txt}{space 17} {c |}
{space 7}loilincome {c |}{col 19}{res}{space 2}-.2564266{col 31}{space 2} .2593835{col 42}{space 1}   -0.99{col 51}{space 3}0.323{col 59}{space 4}-.7648089{col 72}{space 3} .2519558
{txt}{space 9}lethnici {c |}{col 19}{res}{space 2}  -.01068{col 31}{space 2} .0072803{col 42}{space 1}   -1.47{col 51}{space 3}0.142{col 59}{space 4}-.0249491{col 72}{space 3} .0035892
{txt}{space 8}lgdptreis {c |}{col 19}{res}{space 2}-.0110084{col 31}{space 2} .2101437{col 42}{space 1}   -0.05{col 51}{space 3}0.958{col 59}{space 4}-.4228824{col 72}{space 3} .4008657
{txt}{space 2}lonegrowthtreis {c |}{col 19}{res}{space 2}-.0053828{col 31}{space 2} .0189576{col 42}{space 1}   -0.28{col 51}{space 3}0.776{col 59}{space 4} -.042539{col 72}{space 3} .0317734
{txt}{space 9}lmoslemi {c |}{col 19}{res}{space 2} .0009309{col 31}{space 2} .0028601{col 42}{space 1}    0.33{col 51}{space 3}0.745{col 59}{space 4}-.0046748{col 72}{space 3} .0065365
{txt}{space 12}lwpch {c |}{col 19}{res}{space 2}-3.205247{col 31}{space 2} 1.269586{col 42}{space 1}   -2.52{col 51}{space 3}0.012{col 59}{space 4}-5.693589{col 72}{space 3}-.7169053
{txt}{space 10}lagedem {c |}{col 19}{res}{space 2} .0242715{col 31}{space 2} .0122298{col 42}{space 1}    1.98{col 51}{space 3}0.047{col 59}{space 4} .0003016{col 72}{space 3} .0482414
{txt}{space 10}sizedom {c |}{col 19}{res}{space 2}-2.550207{col 31}{space 2} .6035056{col 42}{space 1}   -4.23{col 51}{space 3}0.000{col 59}{space 4}-3.733056{col 72}{space 3}-1.367357
{txt}{space 10}western {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 12}share {c |}{col 19}{res}{space 2} .4616675{col 31}{space 2} .3784002{col 42}{space 1}    1.22{col 51}{space 3}0.222{col 59}{space 4}-.2799833{col 72}{space 3} 1.203318
{txt}{space 12}_cons {c |}{col 19}{res}{space 2} .8964237{col 31}{space 2} 2.060918{col 42}{space 1}    0.43{col 51}{space 3}0.664{col 59}{space 4}-3.142901{col 72}{space 3} 4.935749
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo m15
{txt}
{com}. 
. coefplot (m11, label(Alesina et al.)) (m12, label(Cederman et al.)) (m13, label(Houle)) (m14, label(V-Dem)) (m15, label(Omoeva et al.)), keep(z_ethg_ip z_low_ratio z_lbgi1 z_SEI z_ggini) vertical yline(0) xtitle("") xlabel("") title("") scheme(plottig) graphregion(lcolor(black) lwidth(tiny)) name(graph2)
{res}{p 0 4 2}
{txt}(note:  named style
tiny not found in class
linewidth,  default attributes used)
{p_end}
{com}{txt}{p 0 8} (note:  linewidth  {com}{txt}not found in scheme, default attributes used){p_end}
{res}{txt}
{com}. 
. graph display graph2, scale(1.5) ysize(2) xsize(4)
{res}{txt}
{com}. 
. graph export Figure_6.png, width(4000) replace
{txt}(note: file Figure_6.png not found)
(file Figure_6.png written in PNG format)

{com}.   
. ************************************************************************
. ************** Figure 7: Replication Cederman et al. (2013) *************
. ************************************************************************
. 
. * Replication of Cederman et al. 2013: Civil War (Model 7.1)
. 
. global CONTROLS1 ethfrac lpop lgdppcl 
{txt}
{com}. global TIME1 lonshist pyr_NSA NSA_spl*
{txt}
{com}. 
. logit NSAonset z_ethg_ip sip2l mgini_intx max_rexcll  $CONTROLS1 $TIME1 if year>1990, cl(country_id) nolog
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     2,296
{txt}{col 49}Wald chi2({res}12{txt}){col 67}= {res}     68.76
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-253.06438{txt}{col 49}Pseudo R2{col 67}= {res}    0.1340

{txt}{ralign 78:(Std. Err. adjusted for {res:134} clusters in country_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    NSAonset{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}z_ethg_ip {c |}{col 14}{res}{space 2} .0738907{col 26}{space 2} .2545907{col 37}{space 1}    0.29{col 46}{space 3}0.772{col 54}{space 4}-.4250979{col 67}{space 3} .5728794
{txt}{space 7}sip2l {c |}{col 14}{res}{space 2} .2236663{col 26}{space 2} .5646688{col 37}{space 1}    0.40{col 46}{space 3}0.692{col 54}{space 4}-.8830641{col 67}{space 3} 1.330397
{txt}{space 2}mgini_intx {c |}{col 14}{res}{space 2} -.011867{col 26}{space 2} .0179981{col 37}{space 1}   -0.66{col 46}{space 3}0.510{col 54}{space 4}-.0471426{col 67}{space 3} .0234086
{txt}{space 2}max_rexcll {c |}{col 14}{res}{space 2}-.6277373{col 26}{space 2} .9806929{col 37}{space 1}   -0.64{col 46}{space 3}0.522{col 54}{space 4} -2.54986{col 67}{space 3} 1.294386
{txt}{space 5}ethfrac {c |}{col 14}{res}{space 2} 1.158796{col 26}{space 2}  .650704{col 37}{space 1}    1.78{col 46}{space 3}0.075{col 54}{space 4}-.1165603{col 67}{space 3} 2.434152
{txt}{space 8}lpop {c |}{col 14}{res}{space 2} .2700064{col 26}{space 2} .1103515{col 37}{space 1}    2.45{col 46}{space 3}0.014{col 54}{space 4} .0537215{col 67}{space 3} .4862913
{txt}{space 5}lgdppcl {c |}{col 14}{res}{space 2} -.201563{col 26}{space 2}  .191799{col 37}{space 1}   -1.05{col 46}{space 3}0.293{col 54}{space 4}-.5774822{col 67}{space 3} .1743562
{txt}{space 4}lonshist {c |}{col 14}{res}{space 2} .2657503{col 26}{space 2} .2735858{col 37}{space 1}    0.97{col 46}{space 3}0.331{col 54}{space 4} -.270468{col 67}{space 3} .8019685
{txt}{space 5}pyr_NSA {c |}{col 14}{res}{space 2} .4361544{col 26}{space 2} .1314344{col 37}{space 1}    3.32{col 46}{space 3}0.001{col 54}{space 4} .1785476{col 67}{space 3} .6937611
{txt}{space 4}NSA_spl1 {c |}{col 14}{res}{space 2} .0174979{col 26}{space 2} .0046281{col 37}{space 1}    3.78{col 46}{space 3}0.000{col 54}{space 4} .0084269{col 67}{space 3} .0265688
{txt}{space 4}NSA_spl2 {c |}{col 14}{res}{space 2}-.0046349{col 26}{space 2} .0012604{col 37}{space 1}   -3.68{col 46}{space 3}0.000{col 54}{space 4}-.0071052{col 67}{space 3}-.0021645
{txt}{space 4}NSA_spl3 {c |}{col 14}{res}{space 2} .0007321{col 26}{space 2} .0002409{col 37}{space 1}    3.04{col 46}{space 3}0.002{col 54}{space 4} .0002599{col 67}{space 3} .0012043
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-4.868439{col 26}{space 2} 1.651431{col 37}{space 1}   -2.95{col 46}{space 3}0.003{col 54}{space 4}-8.105185{col 67}{space 3}-1.631692
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo m21
{txt}
{com}. 
. logit NSAonset z_low_ratio sip2l mgini_intx max_rexcll $CONTROLS1 $TIME1 if year>1990, cl(country_id) nolog
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     2,467
{txt}{col 49}Wald chi2({res}12{txt}){col 67}= {res}    147.14
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-309.62879{txt}{col 49}Pseudo R2{col 67}= {res}    0.1228

{txt}{ralign 78:(Std. Err. adjusted for {res:138} clusters in country_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    NSAonset{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}z_low_ratio {c |}{col 14}{res}{space 2} .1659425{col 26}{space 2}   .05532{col 37}{space 1}    3.00{col 46}{space 3}0.003{col 54}{space 4} .0575173{col 67}{space 3} .2743678
{txt}{space 7}sip2l {c |}{col 14}{res}{space 2}-.2302326{col 26}{space 2}  .548746{col 37}{space 1}   -0.42{col 46}{space 3}0.675{col 54}{space 4}-1.305755{col 67}{space 3} .8452898
{txt}{space 2}mgini_intx {c |}{col 14}{res}{space 2}-.0210765{col 26}{space 2} .0149944{col 37}{space 1}   -1.41{col 46}{space 3}0.160{col 54}{space 4} -.050465{col 67}{space 3} .0083119
{txt}{space 2}max_rexcll {c |}{col 14}{res}{space 2}-.1114842{col 26}{space 2} .7258143{col 37}{space 1}   -0.15{col 46}{space 3}0.878{col 54}{space 4}-1.534054{col 67}{space 3} 1.311086
{txt}{space 5}ethfrac {c |}{col 14}{res}{space 2} .7874986{col 26}{space 2} .5594424{col 37}{space 1}    1.41{col 46}{space 3}0.159{col 54}{space 4}-.3089882{col 67}{space 3} 1.883986
{txt}{space 8}lpop {c |}{col 14}{res}{space 2} .1364742{col 26}{space 2} .1218403{col 37}{space 1}    1.12{col 46}{space 3}0.263{col 54}{space 4}-.1023284{col 67}{space 3} .3752769
{txt}{space 5}lgdppcl {c |}{col 14}{res}{space 2}-.2581033{col 26}{space 2} .1726627{col 37}{space 1}   -1.49{col 46}{space 3}0.135{col 54}{space 4} -.596516{col 67}{space 3} .0803094
{txt}{space 4}lonshist {c |}{col 14}{res}{space 2} .4713731{col 26}{space 2} .3378846{col 37}{space 1}    1.40{col 46}{space 3}0.163{col 54}{space 4}-.1908685{col 67}{space 3} 1.133615
{txt}{space 5}pyr_NSA {c |}{col 14}{res}{space 2}    .3531{col 26}{space 2} .1269487{col 37}{space 1}    2.78{col 46}{space 3}0.005{col 54}{space 4} .1042851{col 67}{space 3} .6019149
{txt}{space 4}NSA_spl1 {c |}{col 14}{res}{space 2} .0139745{col 26}{space 2} .0043327{col 37}{space 1}    3.23{col 46}{space 3}0.001{col 54}{space 4} .0054827{col 67}{space 3} .0224664
{txt}{space 4}NSA_spl2 {c |}{col 14}{res}{space 2}-.0037877{col 26}{space 2} .0011561{col 37}{space 1}   -3.28{col 46}{space 3}0.001{col 54}{space 4}-.0060535{col 67}{space 3}-.0015218
{txt}{space 4}NSA_spl3 {c |}{col 14}{res}{space 2} .0006528{col 26}{space 2} .0002151{col 37}{space 1}    3.03{col 46}{space 3}0.002{col 54}{space 4} .0002312{col 67}{space 3} .0010745
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-2.478715{col 26}{space 2} 1.972732{col 37}{space 1}   -1.26{col 46}{space 3}0.209{col 54}{space 4}-6.345199{col 67}{space 3} 1.387769
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo m22
{txt}
{com}. 
. logit NSAonset z_lbgi1  sip2l mgini_intx max_rexcll $CONTROLS1 $TIME1 if year>1990, cl(country_id) nolog
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       913
{txt}{col 49}Wald chi2({res}12{txt}){col 67}= {res}     67.33
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-91.094508{txt}{col 49}Pseudo R2{col 67}= {res}    0.2051

{txt}{ralign 78:(Std. Err. adjusted for {res:68} clusters in country_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    NSAonset{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}z_lbgi1 {c |}{col 14}{res}{space 2} .5200724{col 26}{space 2} .3004265{col 37}{space 1}    1.73{col 46}{space 3}0.083{col 54}{space 4}-.0687528{col 67}{space 3} 1.108898
{txt}{space 7}sip2l {c |}{col 14}{res}{space 2} 1.334936{col 26}{space 2} 2.609318{col 37}{space 1}    0.51{col 46}{space 3}0.609{col 54}{space 4}-3.779232{col 67}{space 3} 6.449105
{txt}{space 2}mgini_intx {c |}{col 14}{res}{space 2}-.0003354{col 26}{space 2} .0253541{col 37}{space 1}   -0.01{col 46}{space 3}0.989{col 54}{space 4}-.0500285{col 67}{space 3} .0493576
{txt}{space 2}max_rexcll {c |}{col 14}{res}{space 2}-1.967312{col 26}{space 2} 1.316933{col 37}{space 1}   -1.49{col 46}{space 3}0.135{col 54}{space 4}-4.548452{col 67}{space 3} .6138288
{txt}{space 5}ethfrac {c |}{col 14}{res}{space 2} 3.868954{col 26}{space 2} 1.391182{col 37}{space 1}    2.78{col 46}{space 3}0.005{col 54}{space 4} 1.142288{col 67}{space 3} 6.595621
{txt}{space 8}lpop {c |}{col 14}{res}{space 2} .4062795{col 26}{space 2} .2077909{col 37}{space 1}    1.96{col 46}{space 3}0.051{col 54}{space 4}-.0009832{col 67}{space 3} .8135421
{txt}{space 5}lgdppcl {c |}{col 14}{res}{space 2}-.1732096{col 26}{space 2} .3393836{col 37}{space 1}   -0.51{col 46}{space 3}0.610{col 54}{space 4}-.8383893{col 67}{space 3} .4919701
{txt}{space 4}lonshist {c |}{col 14}{res}{space 2}-.8579421{col 26}{space 2} .5658787{col 37}{space 1}   -1.52{col 46}{space 3}0.129{col 54}{space 4}-1.967044{col 67}{space 3} .2511598
{txt}{space 5}pyr_NSA {c |}{col 14}{res}{space 2} .3224831{col 26}{space 2} .2706566{col 37}{space 1}    1.19{col 46}{space 3}0.233{col 54}{space 4} -.207994{col 67}{space 3} .8529603
{txt}{space 4}NSA_spl1 {c |}{col 14}{res}{space 2} .0130247{col 26}{space 2} .0077815{col 37}{space 1}    1.67{col 46}{space 3}0.094{col 54}{space 4}-.0022269{col 67}{space 3} .0282762
{txt}{space 4}NSA_spl2 {c |}{col 14}{res}{space 2}-.0036339{col 26}{space 2} .0020205{col 37}{space 1}   -1.80{col 46}{space 3}0.072{col 54}{space 4} -.007594{col 67}{space 3} .0003262
{txt}{space 4}NSA_spl3 {c |}{col 14}{res}{space 2} .0007158{col 26}{space 2} .0003988{col 37}{space 1}    1.79{col 46}{space 3}0.073{col 54}{space 4} -.000066{col 67}{space 3} .0014975
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -8.03372{col 26}{space 2} 2.996219{col 37}{space 1}   -2.68{col 46}{space 3}0.007{col 54}{space 4} -13.9062{col 67}{space 3} -2.16124
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo m23
{txt}
{com}. 
. logit NSAonset z_SEI sip2l mgini_intx max_rexcll $CONTROLS1 $TIME1 if year>1990, cl(country_id) nolog
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     2,467
{txt}{col 49}Wald chi2({res}12{txt}){col 67}= {res}     67.85
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-312.25401{txt}{col 49}Pseudo R2{col 67}= {res}    0.1154

{txt}{ralign 78:(Std. Err. adjusted for {res:138} clusters in country_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    NSAonset{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}z_SEI {c |}{col 14}{res}{space 2} .0856098{col 26}{space 2} .3011852{col 37}{space 1}    0.28{col 46}{space 3}0.776{col 54}{space 4}-.5047024{col 67}{space 3} .6759221
{txt}{space 7}sip2l {c |}{col 14}{res}{space 2}-.2521809{col 26}{space 2} .5086399{col 37}{space 1}   -0.50{col 46}{space 3}0.620{col 54}{space 4}-1.249097{col 67}{space 3} .7447349
{txt}{space 2}mgini_intx {c |}{col 14}{res}{space 2}-.0213114{col 26}{space 2} .0159513{col 37}{space 1}   -1.34{col 46}{space 3}0.182{col 54}{space 4}-.0525754{col 67}{space 3} .0099526
{txt}{space 2}max_rexcll {c |}{col 14}{res}{space 2}-.2178551{col 26}{space 2}  .805336{col 37}{space 1}   -0.27{col 46}{space 3}0.787{col 54}{space 4}-1.796285{col 67}{space 3} 1.360575
{txt}{space 5}ethfrac {c |}{col 14}{res}{space 2} .8021323{col 26}{space 2} .5503525{col 37}{space 1}    1.46{col 46}{space 3}0.145{col 54}{space 4}-.2765388{col 67}{space 3} 1.880803
{txt}{space 8}lpop {c |}{col 14}{res}{space 2} .1954847{col 26}{space 2} .1110836{col 37}{space 1}    1.76{col 46}{space 3}0.078{col 54}{space 4}-.0222351{col 67}{space 3} .4132046
{txt}{space 5}lgdppcl {c |}{col 14}{res}{space 2}-.1452055{col 26}{space 2} .2218243{col 37}{space 1}   -0.65{col 46}{space 3}0.513{col 54}{space 4}-.5799731{col 67}{space 3} .2895621
{txt}{space 4}lonshist {c |}{col 14}{res}{space 2} .4223961{col 26}{space 2} .3033568{col 37}{space 1}    1.39{col 46}{space 3}0.164{col 54}{space 4}-.1721723{col 67}{space 3} 1.016965
{txt}{space 5}pyr_NSA {c |}{col 14}{res}{space 2} .3276431{col 26}{space 2} .1198193{col 37}{space 1}    2.73{col 46}{space 3}0.006{col 54}{space 4} .0928017{col 67}{space 3} .5624845
{txt}{space 4}NSA_spl1 {c |}{col 14}{res}{space 2} .0134842{col 26}{space 2} .0041407{col 37}{space 1}    3.26{col 46}{space 3}0.001{col 54}{space 4} .0053685{col 67}{space 3} .0215998
{txt}{space 4}NSA_spl2 {c |}{col 14}{res}{space 2}-.0037139{col 26}{space 2} .0011158{col 37}{space 1}   -3.33{col 46}{space 3}0.001{col 54}{space 4}-.0059008{col 67}{space 3}-.0015271
{txt}{space 4}NSA_spl3 {c |}{col 14}{res}{space 2} .0006672{col 26}{space 2} .0002128{col 37}{space 1}    3.13{col 46}{space 3}0.002{col 54}{space 4} .0002501{col 67}{space 3} .0010843
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-3.722379{col 26}{space 2} 2.051347{col 37}{space 1}   -1.81{col 46}{space 3}0.070{col 54}{space 4}-7.742946{col 67}{space 3} .2981879
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo m24
{txt}
{com}. 
. logit NSAonset z_ggini sip2l mgini_intx max_rexcll $CONTROLS1 $TIME1 if year>1990, cl(country_id) nolog
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     1,177
{txt}{col 49}Wald chi2({res}12{txt}){col 67}= {res}     24.06
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0200
{txt}Log pseudolikelihood = {res}-152.44988{txt}{col 49}Pseudo R2{col 67}= {res}    0.0728

{txt}{ralign 78:(Std. Err. adjusted for {res:76} clusters in country_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    NSAonset{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}z_ggini {c |}{col 14}{res}{space 2} .5927516{col 26}{space 2} .3200462{col 37}{space 1}    1.85{col 46}{space 3}0.064{col 54}{space 4}-.0345275{col 67}{space 3} 1.220031
{txt}{space 7}sip2l {c |}{col 14}{res}{space 2}-.2251594{col 26}{space 2} .8741875{col 37}{space 1}   -0.26{col 46}{space 3}0.797{col 54}{space 4}-1.938535{col 67}{space 3} 1.488217
{txt}{space 2}mgini_intx {c |}{col 14}{res}{space 2}-.0092705{col 26}{space 2} .0205513{col 37}{space 1}   -0.45{col 46}{space 3}0.652{col 54}{space 4}-.0495504{col 67}{space 3} .0310094
{txt}{space 2}max_rexcll {c |}{col 14}{res}{space 2} .8636464{col 26}{space 2} .8322485{col 37}{space 1}    1.04{col 46}{space 3}0.299{col 54}{space 4}-.7675306{col 67}{space 3} 2.494823
{txt}{space 5}ethfrac {c |}{col 14}{res}{space 2}-.4306046{col 26}{space 2}  .802182{col 37}{space 1}   -0.54{col 46}{space 3}0.591{col 54}{space 4}-2.002852{col 67}{space 3} 1.141643
{txt}{space 8}lpop {c |}{col 14}{res}{space 2}  .131445{col 26}{space 2} .1091041{col 37}{space 1}    1.20{col 46}{space 3}0.228{col 54}{space 4}-.0823951{col 67}{space 3} .3452851
{txt}{space 5}lgdppcl {c |}{col 14}{res}{space 2}-.1102974{col 26}{space 2} .2622033{col 37}{space 1}   -0.42{col 46}{space 3}0.674{col 54}{space 4}-.6242064{col 67}{space 3} .4036116
{txt}{space 4}lonshist {c |}{col 14}{res}{space 2}-.1485962{col 26}{space 2}  .563221{col 37}{space 1}   -0.26{col 46}{space 3}0.792{col 54}{space 4}-1.252489{col 67}{space 3} .9552967
{txt}{space 5}pyr_NSA {c |}{col 14}{res}{space 2} .5436625{col 26}{space 2} .2256992{col 37}{space 1}    2.41{col 46}{space 3}0.016{col 54}{space 4} .1013002{col 67}{space 3} .9860248
{txt}{space 4}NSA_spl1 {c |}{col 14}{res}{space 2} .0206423{col 26}{space 2} .0074793{col 37}{space 1}    2.76{col 46}{space 3}0.006{col 54}{space 4} .0059831{col 67}{space 3} .0353015
{txt}{space 4}NSA_spl2 {c |}{col 14}{res}{space 2}-.0054438{col 26}{space 2} .0019445{col 37}{space 1}   -2.80{col 46}{space 3}0.005{col 54}{space 4}-.0092549{col 67}{space 3}-.0016327
{txt}{space 4}NSA_spl3 {c |}{col 14}{res}{space 2} .0008452{col 26}{space 2} .0003207{col 37}{space 1}    2.64{col 46}{space 3}0.008{col 54}{space 4} .0002166{col 67}{space 3} .0014738
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-3.525386{col 26}{space 2} 2.243243{col 37}{space 1}   -1.57{col 46}{space 3}0.116{col 54}{space 4}-7.922062{col 67}{space 3} .8712891
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo m25
{txt}
{com}. 
. coefplot (m21, label(Alesina et al.)) (m22, label(Cederman et al.)) (m23, label(Houle)) (m24, label(V-Dem)) (m25, label(Omoeva et al.)), keep(z_ethg_ip z_low_ratio z_lbgi1 z_SEI z_ggini) vertical yline(0) xtitle("") xlabel("") title("") scheme(plottig) graphregion(lcolor(black) lwidth(tiny)) name(graph3)
{res}{p 0 4 2}
{txt}(note:  named style
tiny not found in class
linewidth,  default attributes used)
{p_end}
{com}{txt}{p 0 8} (note:  linewidth  {com}{txt}not found in scheme, default attributes used){p_end}
{res}{txt}
{com}. 
. graph display graph3, scale(1.5) ysize(2) xsize(4)
{res}{txt}
{com}. 
. graph export Figure_7.png, width(4000) replace
{txt}(note: file Figure_7.png not found)
(file Figure_7.png written in PNG format)

{com}. 
. **************************************************************************
. ************** Figure 8: Replication Baldwin and Huber (2010) *************
. **************************************************************************
. 
. * Replication of Baldwin and Huber 2010: Public Goods
. 
. reg pg z_ethg_ip lngdpstd popstd polity2std afrobarom wvs cses, robust

{txt}Linear regression                               Number of obs     = {res}        46
                                                {txt}F(7, 38)          =  {res}   114.04
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.8755
                                                {txt}Root MSE          =    {res} .39014

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}          pg{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}z_ethg_ip {c |}{col 14}{res}{space 2}-.2786468{col 26}{space 2} .0796691{col 37}{space 1}   -3.50{col 46}{space 3}0.001{col 54}{space 4}-.4399284{col 67}{space 3}-.1173652
{txt}{space 4}lngdpstd {c |}{col 14}{res}{space 2} .5829123{col 26}{space 2}  .159646{col 37}{space 1}    3.65{col 46}{space 3}0.001{col 54}{space 4} .2597258{col 67}{space 3} .9060988
{txt}{space 6}popstd {c |}{col 14}{res}{space 2}-.1418256{col 26}{space 2} .0556269{col 37}{space 1}   -2.55{col 46}{space 3}0.015{col 54}{space 4}-.2544365{col 67}{space 3}-.0292147
{txt}{space 2}polity2std {c |}{col 14}{res}{space 2} .0357583{col 26}{space 2} .1255706{col 37}{space 1}    0.28{col 46}{space 3}0.777{col 54}{space 4} -.218446{col 67}{space 3} .2899627
{txt}{space 3}afrobarom {c |}{col 14}{res}{space 2}-.5536282{col 26}{space 2} .2969279{col 37}{space 1}   -1.86{col 46}{space 3}0.070{col 54}{space 4}-1.154727{col 67}{space 3}  .047471
{txt}{space 9}wvs {c |}{col 14}{res}{space 2}-.1851486{col 26}{space 2} .1580006{col 37}{space 1}   -1.17{col 46}{space 3}0.249{col 54}{space 4} -.505004{col 67}{space 3} .1347069
{txt}{space 8}cses {c |}{col 14}{res}{space 2}  .084569{col 26}{space 2} .1712155{col 37}{space 1}    0.49{col 46}{space 3}0.624{col 54}{space 4}-.2620387{col 67}{space 3} .4311767
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .1596564{col 26}{space 2} .1359064{col 37}{space 1}    1.17{col 46}{space 3}0.247{col 54}{space 4}-.1154717{col 67}{space 3} .4347846
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo m31
{txt}
{com}. 
. reg pg z_low_ratio lngdpstd popstd polity2std afrobarom wvs cses, robust

{txt}Linear regression                               Number of obs     = {res}        46
                                                {txt}F(7, 38)          =  {res}    41.20
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.8446
                                                {txt}Root MSE          =    {res} .43584

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}          pg{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}z_low_ratio {c |}{col 14}{res}{space 2} .0171765{col 26}{space 2} .0336295{col 37}{space 1}    0.51{col 46}{space 3}0.612{col 54}{space 4}-.0509028{col 67}{space 3} .0852558
{txt}{space 4}lngdpstd {c |}{col 14}{res}{space 2} .5016045{col 26}{space 2} .2031671{col 37}{space 1}    2.47{col 46}{space 3}0.018{col 54}{space 4} .0903142{col 67}{space 3} .9128949
{txt}{space 6}popstd {c |}{col 14}{res}{space 2}-.2408156{col 26}{space 2} .0753547{col 37}{space 1}   -3.20{col 46}{space 3}0.003{col 54}{space 4}-.3933632{col 67}{space 3} -.088268
{txt}{space 2}polity2std {c |}{col 14}{res}{space 2} .1956126{col 26}{space 2} .1529774{col 37}{space 1}    1.28{col 46}{space 3}0.209{col 54}{space 4}-.1140739{col 67}{space 3} .5052992
{txt}{space 3}afrobarom {c |}{col 14}{res}{space 2} -.655688{col 26}{space 2} .3321736{col 37}{space 1}   -1.97{col 46}{space 3}0.056{col 54}{space 4}-1.328138{col 67}{space 3} .0167624
{txt}{space 9}wvs {c |}{col 14}{res}{space 2} .0055487{col 26}{space 2} .1488301{col 37}{space 1}    0.04{col 46}{space 3}0.970{col 54}{space 4}-.2957421{col 67}{space 3} .3068395
{txt}{space 8}cses {c |}{col 14}{res}{space 2} .2126468{col 26}{space 2}  .182767{col 37}{space 1}    1.16{col 46}{space 3}0.252{col 54}{space 4}-.1573456{col 67}{space 3} .5826391
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .1233861{col 26}{space 2} .1485729{col 37}{space 1}    0.83{col 46}{space 3}0.411{col 54}{space 4} -.177384{col 67}{space 3} .4241561
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo m32
{txt}
{com}. 
. reg pg z_lbgi1 lngdpstd popstd polity2std afrobarom wvs cses, robust

{txt}Linear regression                               Number of obs     = {res}        30
                                                {txt}F(7, 22)          =  {res}    84.56
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.8658
                                                {txt}Root MSE          =    {res} .44725

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}          pg{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}z_lbgi1 {c |}{col 14}{res}{space 2}-.3032137{col 26}{space 2} .3556791{col 37}{space 1}   -0.85{col 46}{space 3}0.403{col 54}{space 4}-1.040847{col 67}{space 3} .4344196
{txt}{space 4}lngdpstd {c |}{col 14}{res}{space 2} .2985157{col 26}{space 2} .2624554{col 37}{space 1}    1.14{col 46}{space 3}0.268{col 54}{space 4}-.2457834{col 67}{space 3} .8428148
{txt}{space 6}popstd {c |}{col 14}{res}{space 2}-.2584847{col 26}{space 2} .0976668{col 37}{space 1}   -2.65{col 46}{space 3}0.015{col 54}{space 4}-.4610332{col 67}{space 3}-.0559361
{txt}{space 2}polity2std {c |}{col 14}{res}{space 2} .3323002{col 26}{space 2} .1699716{col 37}{space 1}    1.96{col 46}{space 3}0.063{col 54}{space 4}-.0201994{col 67}{space 3} .6847998
{txt}{space 3}afrobarom {c |}{col 14}{res}{space 2}-1.010089{col 26}{space 2} .4805208{col 37}{space 1}   -2.10{col 46}{space 3}0.047{col 54}{space 4}-2.006628{col 67}{space 3}-.0135495
{txt}{space 9}wvs {c |}{col 14}{res}{space 2} .0654528{col 26}{space 2} .2302371{col 37}{space 1}    0.28{col 46}{space 3}0.779{col 54}{space 4}-.4120298{col 67}{space 3} .5429354
{txt}{space 8}cses {c |}{col 14}{res}{space 2} .2109662{col 26}{space 2} .2168389{col 37}{space 1}    0.97{col 46}{space 3}0.341{col 54}{space 4}-.2387302{col 67}{space 3} .6606626
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .1000129{col 26}{space 2} .2193301{col 37}{space 1}    0.46{col 46}{space 3}0.653{col 54}{space 4}-.3548499{col 67}{space 3} .5548758
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo m33
{txt}
{com}. 
. reg pg z_SEI lngdpstd popstd polity2std afrobarom wvs cses, robust

{txt}Linear regression                               Number of obs     = {res}        46
                                                {txt}F(7, 38)          =  {res}    74.92
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.8646
                                                {txt}Root MSE          =    {res} .40678

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}          pg{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}z_SEI {c |}{col 14}{res}{space 2}-.3070297{col 26}{space 2}  .134516{col 37}{space 1}   -2.28{col 46}{space 3}0.028{col 54}{space 4} -.579343{col 67}{space 3}-.0347163
{txt}{space 4}lngdpstd {c |}{col 14}{res}{space 2} .3917593{col 26}{space 2} .1892359{col 37}{space 1}    2.07{col 46}{space 3}0.045{col 54}{space 4} .0086713{col 67}{space 3} .7748473
{txt}{space 6}popstd {c |}{col 14}{res}{space 2} -.171615{col 26}{space 2} .0526573{col 37}{space 1}   -3.26{col 46}{space 3}0.002{col 54}{space 4}-.2782142{col 67}{space 3}-.0650159
{txt}{space 2}polity2std {c |}{col 14}{res}{space 2}  .120316{col 26}{space 2} .1282639{col 37}{space 1}    0.94{col 46}{space 3}0.354{col 54}{space 4}-.1393406{col 67}{space 3} .3799727
{txt}{space 3}afrobarom {c |}{col 14}{res}{space 2}-.6765542{col 26}{space 2} .3133858{col 37}{space 1}   -2.16{col 46}{space 3}0.037{col 54}{space 4}-1.310971{col 67}{space 3}-.0421378
{txt}{space 9}wvs {c |}{col 14}{res}{space 2}-.1230501{col 26}{space 2} .1607728{col 37}{space 1}   -0.77{col 46}{space 3}0.449{col 54}{space 4}-.4485175{col 67}{space 3} .2024173
{txt}{space 8}cses {c |}{col 14}{res}{space 2}   .09835{col 26}{space 2} .1668157{col 37}{space 1}    0.59{col 46}{space 3}0.559{col 54}{space 4}-.2393508{col 67}{space 3} .4360508
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0570895{col 26}{space 2} .1067152{col 37}{space 1}   -0.53{col 46}{space 3}0.596{col 54}{space 4}-.2731232{col 67}{space 3} .1589442
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo m34
{txt}
{com}. 
. reg pg z_ggini lngdpstd popstd polity2std afrobarom wvs cses, robust

{txt}Linear regression                               Number of obs     = {res}        21
                                                {txt}{help j_robustsingular:F(6, 13) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.8264
                                                {txt}Root MSE          =    {res} .49443

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}          pg{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}z_ggini {c |}{col 14}{res}{space 2}-.3534972{col 26}{space 2} .1392877{col 37}{space 1}   -2.54{col 46}{space 3}0.025{col 54}{space 4}-.6544099{col 67}{space 3}-.0525845
{txt}{space 4}lngdpstd {c |}{col 14}{res}{space 2} .4587566{col 26}{space 2}  .227843{col 37}{space 1}    2.01{col 46}{space 3}0.065{col 54}{space 4}-.0334682{col 67}{space 3} .9509814
{txt}{space 6}popstd {c |}{col 14}{res}{space 2}-.4272964{col 26}{space 2} .3524908{col 37}{space 1}   -1.21{col 46}{space 3}0.247{col 54}{space 4}-1.188807{col 67}{space 3} .3342138
{txt}{space 2}polity2std {c |}{col 14}{res}{space 2} .1128673{col 26}{space 2} .1319768{col 37}{space 1}    0.86{col 46}{space 3}0.408{col 54}{space 4}-.1722514{col 67}{space 3} .3979859
{txt}{space 3}afrobarom {c |}{col 14}{res}{space 2}-.6644536{col 26}{space 2} .4547794{col 37}{space 1}   -1.46{col 46}{space 3}0.168{col 54}{space 4}-1.646945{col 67}{space 3} .3180375
{txt}{space 9}wvs {c |}{col 14}{res}{space 2}-.2418901{col 26}{space 2} .3905045{col 37}{space 1}   -0.62{col 46}{space 3}0.546{col 54}{space 4}-1.085524{col 67}{space 3} .6017436
{txt}{space 8}cses {c |}{col 14}{res}{space 2}  .690263{col 26}{space 2} .3716579{col 37}{space 1}    1.86{col 46}{space 3}0.086{col 54}{space 4} -.112655{col 67}{space 3} 1.493181
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0462708{col 26}{space 2} .3426541{col 37}{space 1}    0.14{col 46}{space 3}0.895{col 54}{space 4}-.6939884{col 67}{space 3} .7865301
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo m35
{txt}
{com}. 
. reg pg betweenstd lngdpstd popstd polity2std afrobarom wvs cses, robust

{txt}Linear regression                               Number of obs     = {res}        46
                                                {txt}F(7, 38)          =  {res}    46.20
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.8577
                                                {txt}Root MSE          =    {res} .41702

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}          pg{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}betweenstd {c |}{col 14}{res}{space 2}-.1374521{col 26}{space 2} .0650244{col 37}{space 1}   -2.11{col 46}{space 3}0.041{col 54}{space 4} -.269087{col 67}{space 3}-.0058172
{txt}{space 4}lngdpstd {c |}{col 14}{res}{space 2} .4921093{col 26}{space 2} .1719547{col 37}{space 1}    2.86{col 46}{space 3}0.007{col 54}{space 4} .1440052{col 67}{space 3} .8402134
{txt}{space 6}popstd {c |}{col 14}{res}{space 2}-.2001866{col 26}{space 2}  .055555{col 37}{space 1}   -3.60{col 46}{space 3}0.001{col 54}{space 4}-.3126518{col 67}{space 3}-.0877215
{txt}{space 2}polity2std {c |}{col 14}{res}{space 2} .1721143{col 26}{space 2} .1159817{col 37}{space 1}    1.48{col 46}{space 3}0.146{col 54}{space 4}-.0626783{col 67}{space 3}  .406907
{txt}{space 3}afrobarom {c |}{col 14}{res}{space 2}-.6201949{col 26}{space 2} .2886122{col 37}{space 1}   -2.15{col 46}{space 3}0.038{col 54}{space 4} -1.20446{col 67}{space 3}  -.03593
{txt}{space 9}wvs {c |}{col 14}{res}{space 2}-.0432953{col 26}{space 2} .1334395{col 37}{space 1}   -0.32{col 46}{space 3}0.747{col 54}{space 4}-.3134294{col 67}{space 3} .2268388
{txt}{space 8}cses {c |}{col 14}{res}{space 2} .1405442{col 26}{space 2}  .182751{col 37}{space 1}    0.77{col 46}{space 3}0.447{col 54}{space 4}-.2294158{col 67}{space 3} .5105042
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .1493514{col 26}{space 2} .1368202{col 37}{space 1}    1.09{col 46}{space 3}0.282{col 54}{space 4}-.1276266{col 67}{space 3} .4263294
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo m36
{txt}
{com}. 
. coefplot (m31, label(Alesina et al.)) (m32, label(Cederman et al.)) (m33, label(Houle)) (m34, label(V-Dem)) (m35, label(Omoeva et al.)) (m36, label(Baldwin and Huber)), keep(z_ethg_ip z_low_ratio z_lbgi1 betweenstd z_SEI z_ggini) vertical yline(0) xtitle("") xlabel("") title("") scheme(plottig) graphregion(lcolor(black) lwidth(tiny)) name(graph4)
{res}{p 0 4 2}
{txt}(note:  named style
tiny not found in class
linewidth,  default attributes used)
{p_end}
{com}{txt}{p 0 8} (note:  linewidth  {com}{txt}not found in scheme, default attributes used){p_end}
{res}{txt}
{com}. 
. graph display graph4, scale(1.5) ysize(2) xsize(4)
{res}{txt}
{com}. 
. graph export Figure_8.png, width(4000) replace
{txt}(note: file Figure_8.png not found)
(file Figure_8.png written in PNG format)

{com}. 
. 
. 
. ***************************************************
. ***************************************************
. ************ Appendix *****************************
. ***************************************************
. ***************************************************
. 
. 
. 
. 
. ********************************************************************************
. **************** Figures A1-A6: Maps of data coverage **************************
. ********************************************************************************
. bys country_id: egen cumulated_ethg = total(ethg_obs)
{txt}
{com}. recode cumulated_ethg (.=0)
{txt}(cumulated_ethg: 0 changes made)

{com}. recode cumulated_ethg (3=1)
{txt}(cumulated_ethg: 20933 changes made)

{com}. 
. bys country_id: egen cumulated_lbgi1 = total(lbgi1_obs)
{txt}
{com}. recode cumulated_lbgi1 (.=0)
{txt}(cumulated_lbgi1: 0 changes made)

{com}. replace cumulated_lbgi1 =1 if cumulated_lbgi1 >=1
{txt}(8,470 real changes made)

{com}. 
. bys country_id: egen cumulated_betweenstd = total(betweenstd_obs)
{txt}
{com}. recode cumulated_betweenstd (.=0)
{txt}(cumulated_betweenstd: 0 changes made)

{com}. replace cumulated_betweenstd =1 if cumulated_betweenstd >=1
{txt}(0 real changes made)

{com}. 
. bys country_id: egen cumulated_SEI = total(SEI_obs)
{txt}
{com}. recode cumulated_SEI (.=0)
{txt}(cumulated_SEI: 0 changes made)

{com}. replace cumulated_SEI =1 if cumulated_SEI >=1
{txt}(21,659 real changes made)

{com}. 
. bys country_id: egen cumulated_ggini = total(ggini_obs)
{txt}
{com}. recode cumulated_ggini (.=0)
{txt}(cumulated_ggini: 0 changes made)

{com}. replace cumulated_ggini =1 if cumulated_ggini >=1
{txt}(10,406 real changes made)

{com}. 
. bys country_id: egen cumulated_low_ratio = total(low_ratio_obs)
{txt}
{com}. recode cumulated_low_ratio (.=0)
{txt}(cumulated_low_ratio: 0 changes made)

{com}. replace cumulated_low_ratio =1 if cumulated_low_ratio >=1
{txt}(18,876 real changes made)

{com}. 
. spmap cumulated_ethg using "worldcoor" if year==2020, id(map_id) clmethod(unique) fcolor(Greys2) osize(vthin vthin vthin vthin) ndsize(vvthin) title("") graphregion(lcolor(black) lwidth(tiny)) legenda(off)
{p 0 4 2}
{txt}(note:  named style
tiny not found in class
linewidth,  default attributes used)
{p_end}
{com}{txt}{p 0 8} (note:  linewidth  {com}{txt}not found in scheme, default attributes used){p_end}
{res}{txt}
{com}. graph export Figure_A1.png, width(4000) replace
{txt}(note: file Figure_A1.png not found)
(file Figure_A1.png written in PNG format)

{com}. 
. spmap cumulated_low_ratio using "worldcoor" if year==2020, id(map_id) clmethod(unique) fcolor(Greys2) osize(vthin vthin vthin vthin) ndsize(vvthin) title("") graphregion(lcolor(black) lwidth(tiny)) legenda(off) 
{p 0 4 2}
{txt}(note:  named style
tiny not found in class
linewidth,  default attributes used)
{p_end}
{com}{txt}{p 0 8} (note:  linewidth  {com}{txt}not found in scheme, default attributes used){p_end}
{res}{txt}
{com}. graph export Figure_A2.png, width(4000) replace
{txt}(note: file Figure_A2.png not found)
(file Figure_A2.png written in PNG format)

{com}. 
. spmap cumulated_betweenstd using "worldcoor" if year==2020, id(map_id) clmethod(unique) fcolor(Greys2) osize(vthin vthin vthin vthin) ndsize(vvthin) title("") graphregion(lcolor(black) lwidth(tiny)) legenda(off) 
{p 0 4 2}
{txt}(note:  named style
tiny not found in class
linewidth,  default attributes used)
{p_end}
{com}{txt}{p 0 8} (note:  linewidth  {com}{txt}not found in scheme, default attributes used){p_end}
{res}{txt}
{com}. graph export Figure_A3.png, width(4000) replace
{txt}(note: file Figure_A3.png not found)
(file Figure_A3.png written in PNG format)

{com}. 
. spmap cumulated_lbgi1 using "worldcoor" if year==2020, id(map_id) clmethod(unique) fcolor(Greys2) osize(vthin vthin vthin vthin) ndsize(vvthin) title("") graphregion(lcolor(black) lwidth(tiny)) legenda(off) 
{p 0 4 2}
{txt}(note:  named style
tiny not found in class
linewidth,  default attributes used)
{p_end}
{com}{txt}{p 0 8} (note:  linewidth  {com}{txt}not found in scheme, default attributes used){p_end}
{res}{txt}
{com}. graph export Figure_A4.png, width(4000) replace
{txt}(note: file Figure_A4.png not found)
(file Figure_A4.png written in PNG format)

{com}. 
. spmap cumulated_SEI using "worldcoor" if year==2020, id(map_id) clmethod(unique) fcolor(Greys2) osize(vthin vthin vthin vthin) ndsize(vvthin) title("") graphregion(lcolor(black) lwidth(tiny)) legenda(off) 
{p 0 4 2}
{txt}(note:  named style
tiny not found in class
linewidth,  default attributes used)
{p_end}
{com}{txt}{p 0 8} (note:  linewidth  {com}{txt}not found in scheme, default attributes used){p_end}
{res}{txt}
{com}. graph export Figure_A5.png, width(4000) replace
{txt}(note: file Figure_A5.png not found)
(file Figure_A5.png written in PNG format)

{com}. 
. spmap cumulated_ggini using "worldcoor" if year==2020, id(map_id) clmethod(unique) fcolor(Greys2) osize(vthin vthin vthin vthin) ndsize(vvthin) title("") graphregion(lcolor(black) lwidth(tiny)) legenda(off) 
{p 0 4 2}
{txt}(note:  named style
tiny not found in class
linewidth,  default attributes used)
{p_end}
{com}{txt}{p 0 8} (note:  linewidth  {com}{txt}not found in scheme, default attributes used){p_end}
{res}{txt}
{com}. graph export Figure_A6.png, width(4000) replace
{txt}(note: file Figure_A6.png not found)
(file Figure_A6.png written in PNG format)

{com}. 
. ****************************************************************
. *************** Table A1: Temporal variation *******************
. ****************************************************************
. xtset country_id year
{res}{txt}{col 8}panel variable:  {res}country_id (weakly balanced)
{txt}{col 9}time variable:  {res}{col 25}year, 1900 to 2020
{txt}{col 17}delta:  {res}1 unit
{txt}
{com}. xtsum z_ethg z_low_ratio z_lbgi1 betweenstd z_SEI z_ggini

{txt}Variable         {c |}      Mean   Std. Dev.       Min        Max {c |}    Observations
{hline 17}{c +}{hline 44}{c +}{hline 16}
z_ethg{col 10}overall {c |} {res}-9.02e-10          1  -1.367412   1.593341{txt} {c |}{col 69}N =     519
{col 10}between {c |}{col 31}{res} .9908323  -1.367412   1.558937{txt} {c |}{col 69}n =     173
{col 10}within  {c |}{col 31}{res}  .148465  -.5756448   .7007493{txt} {c |}     T =       3
{col 18}{c |}{col 63}{c |}
z_low_~o{col 10}overall {c |} {res} 5.92e-09          1  -.3281291   9.607742{txt} {c |}{col 69}N =    3042
{col 10}between {c |}{col 31}{res} .9656112  -.3281291   9.336628{txt} {c |}{col 69}n =     157
{col 10}within  {c |}{col 31}{res} .2158026  -3.069488   2.219575{txt} {c |}     T = 19.3758
{col 18}{c |}{col 63}{c |}
z_lbgi1{col 10}overall {c |} {res}-2.25e-09          1  -.7557215   7.378676{txt} {c |}{col 69}N =    1641
{col 10}between {c |}{col 31}{res} .9470691  -.7557215   6.265974{txt} {c |}{col 69}n =      71
{col 10}within  {c |}{col 31}{res} .3090533  -3.574612    1.66286{txt} {c |}     T = 23.1127
{col 18}{c |}{col 63}{c |}
betwee~d{col 10}overall {c |} {res} 3.81e-09          1  -1.137963   3.005852{txt} {c |}{col 69}N =      46
{col 10}between {c |}{col 31}{res}        1  -1.137963   3.005852{txt} {c |}{col 69}n =      46
{col 10}within  {c |}{col 31}{res}        0   3.81e-09   3.81e-09{txt} {c |}     T =       1
{col 18}{c |}{col 63}{c |}
z_SEI{col 10}overall {c |} {res}-1.38e-09          1  -2.190467   2.025055{txt} {c |}{col 69}N =   18157
{col 10}between {c |}{col 31}{res} .8583621  -1.793884   1.415354{txt} {c |}{col 69}n =     179
{col 10}within  {c |}{col 31}{res} .5280743  -1.941581   1.830407{txt} {c |} T-bar = 101.436
{col 18}{c |}{col 63}{c |}
z_ggini{col 10}overall {c |} {res}-2.03e-09          1  -.9265394   5.215148{txt} {c |}{col 69}N =    4254
{col 10}between {c |}{col 31}{res}  .873205  -.9245565   2.802525{txt} {c |}{col 69}n =      86
{col 10}within  {c |}{col 31}{res} .5493363  -2.767259   3.741995{txt} {c |}     T = 49.4651

{com}. 
. egen z_poly=std(v2x_polyarchy), mean(0) std(1)
{txt}(9220 missing values generated)

{com}. 
. 
. 
. ****************************************************
. ************** Table A2: Non-random patterns  ******
. ****************************************************
. 
. *** GDP
. ttest e_migdppcln if year == 2000, by(ethg_obs)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     10{col 22}    8.703{col 34} .3313073{col 46} 1.047686{col 58} 7.953531{col 70} 9.452469
       {txt}1 {c |}{res}{col 12}    153{col 22} 8.751046{col 34} .0986137{col 46} 1.219784{col 58} 8.556215{col 70} 8.945876
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    163{col 22} 8.748098{col 34} .0945491{col 46} 1.207122{col 58} 8.561391{col 70} 8.934806
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0480458{col 34} .3952064{col 58}-.8285025{col 70}  .732411
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.1216
{txt}Ho: diff = 0                                     degrees of freedom = {res}     161

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.4517         {txt}Pr(|T| > |t|) = {res}0.9034          {txt}Pr(T > t) = {res}0.5483
{txt}
{com}. ttest e_migdppcln if year == 2000, by(low_ratio_obs)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     15{col 22} 9.409333{col 34} .2950794{col 46} 1.142838{col 58} 8.776451{col 70} 10.04222
       {txt}1 {c |}{res}{col 12}    148{col 22} 8.681081{col 34} .0983755{col 46}  1.19679{col 58} 8.486668{col 70} 8.875494
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    163{col 22} 8.748098{col 34} .0945491{col 46} 1.207122{col 58} 8.561391{col 70} 8.934806
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .7282523{col 34} .3230463{col 58} .0902978{col 70} 1.366207
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  2.2543
{txt}Ho: diff = 0                                     degrees of freedom = {res}     161

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9872         {txt}Pr(|T| > |t|) = {res}0.0255          {txt}Pr(T > t) = {res}0.0128
{txt}
{com}. ttest e_migdppcln if year == 2000, by(lbgi1_obs)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    107{col 22} 8.628037{col 34} .1214893{col 46} 1.256695{col 58} 8.387173{col 70} 8.868902
       {txt}1 {c |}{res}{col 12}     56{col 22}   8.9775{col 34} .1443346{col 46} 1.080101{col 58} 8.688247{col 70} 9.266753
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    163{col 22} 8.748098{col 34} .0945491{col 46} 1.207122{col 58} 8.561391{col 70} 8.934806
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.3494626{col 34} .1978036{col 58}-.7400868{col 70} .0411615
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -1.7667
{txt}Ho: diff = 0                                     degrees of freedom = {res}     161

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0396         {txt}Pr(|T| > |t|) = {res}0.0792          {txt}Pr(T > t) = {res}0.9604
{txt}
{com}. ttest e_migdppcln if year >= 1996 & year <= 2006, by(betweenstd_obs)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  1,745{col 22} 8.786069{col 34} .0288925{col 46}  1.20693{col 58} 8.729401{col 70} 8.842736
       {txt}1 {c |}{res}{col 12}     46{col 22} 9.011087{col 34} .1657579{col 46} 1.124225{col 58} 8.677233{col 70}  9.34494
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}  1,791{col 22} 8.791848{col 34}  .028476{col 46} 1.205109{col 58} 8.735998{col 70} 8.847698
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.2250182{col 34}  .179982{col 58}-.5780153{col 70} .1279789
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -1.2502
{txt}Ho: diff = 0                                     degrees of freedom = {res}    1789

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.1057         {txt}Pr(|T| > |t|) = {res}0.2114          {txt}Pr(T > t) = {res}0.8943
{txt}
{com}. ttest e_migdppcln if year == 2000, by(ggini_obs)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     90{col 22} 9.398111{col 34} .1024092{col 46} .9715387{col 58} 9.194626{col 70} 9.601596
       {txt}1 {c |}{res}{col 12}     73{col 22} 7.946712{col 34} .1130244{col 46} .9656806{col 58} 7.721402{col 70} 8.172022
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    163{col 22} 8.748098{col 34} .0945491{col 46} 1.207122{col 58} 8.561391{col 70} 8.934806
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} 1.451399{col 34} .1526162{col 58} 1.150011{col 70} 1.752786
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  9.5101
{txt}Ho: diff = 0                                     degrees of freedom = {res}     161

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}1.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}0.0000
{txt}
{com}. 
. *** Democracy
. ttest e_boix_regime if year == 2000, by(ethg_obs)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}      8{col 22}       .5{col 34} .1889822{col 46} .5345225{col 58}  .053128{col 70}  .946872
       {txt}1 {c |}{res}{col 12}    162{col 22} .5308642{col 34} .0393304{col 46} .5005939{col 58} .4531943{col 70} .6085341
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    170{col 22} .5294118{col 34} .0383949{col 46} .5006087{col 58} .4536163{col 70} .6052072
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0308642{col 34} .1818327{col 58}-.3898355{col 70} .3281071
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.1697
{txt}Ho: diff = 0                                     degrees of freedom = {res}     168

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.4327         {txt}Pr(|T| > |t|) = {res}0.8654          {txt}Pr(T > t) = {res}0.5673
{txt}
{com}. ttest e_boix_regime if year == 2000, by(low_ratio_obs)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     16{col 22}    .5625{col 34} .1280869{col 46} .5123475{col 58} .2894893{col 70} .8355107
       {txt}1 {c |}{res}{col 12}    154{col 22}  .525974{col 34}  .040368{col 46}  .500954{col 58} .4462233{col 70} .6057247
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    170{col 22} .5294118{col 34} .0383949{col 46} .5006087{col 58} .4536163{col 70} .6052072
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}  .036526{col 34} .1318536{col 58}-.2237775{col 70} .2968295
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.2770
{txt}Ho: diff = 0                                     degrees of freedom = {res}     168

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.6089         {txt}Pr(|T| > |t|) = {res}0.7821          {txt}Pr(T > t) = {res}0.3911
{txt}
{com}. ttest e_boix_regime if year == 2000, by(lbgi1_obs)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    114{col 22} .3421053{col 34} .0446292{col 46} .4765092{col 58} .2536868{col 70} .4305237
       {txt}1 {c |}{res}{col 12}     56{col 22} .9107143{col 34} .0384504{col 46} .2877364{col 58}  .833658{col 70} .9877706
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    170{col 22} .5294118{col 34} .0383949{col 46} .5006087{col 58} .4536163{col 70} .6052072
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} -.568609{col 34} .0692005{col 58}-.7052236{col 70}-.4319944
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -8.2168
{txt}Ho: diff = 0                                     degrees of freedom = {res}     168

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}1.0000
{txt}
{com}. ttest e_boix_regime if year >=1996  & year <=2006, by(betweenstd_obs)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  1,830{col 22} .5300546{col 34} .0116702{col 46} .4992323{col 58} .5071664{col 70} .5529429
       {txt}1 {c |}{res}{col 12}     46{col 22} .8695652{col 34} .0502044{col 46} .3405026{col 58} .7684484{col 70}  .970682
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}  1,876{col 22} .5383795{col 34} .0115129{col 46} .4986578{col 58}    .5158{col 70} .5609591
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.3395106{col 34} .0740471{col 58} -.484734{col 70}-.1942872
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -4.5851
{txt}Ho: diff = 0                                     degrees of freedom = {res}    1874

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}1.0000
{txt}
{com}. ttest e_boix_regime if year == 2000, by(ggini_obs)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     94{col 22} .5638298{col 34} .0514234{col 46} .4985681{col 58} .4617132{col 70} .6659464
       {txt}1 {c |}{res}{col 12}     76{col 22} .4868421{col 34}  .057715{col 46}  .503148{col 58} .3718679{col 70} .6018163
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    170{col 22} .5294118{col 34} .0383949{col 46} .5006087{col 58} .4536163{col 70} .6052072
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0769877{col 34} .0772254{col 58}-.0754695{col 70} .2294449
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.9969
{txt}Ho: diff = 0                                     degrees of freedom = {res}     168

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8399         {txt}Pr(|T| > |t|) = {res}0.3202          {txt}Pr(T > t) = {res}0.1601
{txt}
{com}. 
. *** State Capacity
. * resscale
. generate state_capacity = ((v2clrspct--4)/(4--4))*(1-0)
{txt}(9,135 missing values generated)

{com}. ttest state_capacity if year == 2000, by(ethg_obs)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     15{col 22}  .490925{col 34} .0507304{col 46} .1964778{col 58} .3821192{col 70} .5997308
       {txt}1 {c |}{res}{col 12}    162{col 22} .5528688{col 34} .0146578{col 46} .1865635{col 58} .5239225{col 70} .5818152
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    177{col 22} .5476193{col 34}  .014104{col 46} .1876421{col 58} .5197845{col 70} .5754542
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0619438{col 34} .0505705{col 58}-.1617504{col 70} .0378628
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -1.2249
{txt}Ho: diff = 0                                     degrees of freedom = {res}     175

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.1111         {txt}Pr(|T| > |t|) = {res}0.2223          {txt}Pr(T > t) = {res}0.8889
{txt}
{com}. ttest state_capacity if year == 2000, by(low_ratio_obs)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     23{col 22} .5713587{col 34} .0378813{col 46} .1816721{col 58} .4927978{col 70} .6499196
       {txt}1 {c |}{res}{col 12}    154{col 22} .5440739{col 34} .0152169{col 46} .1888368{col 58} .5140115{col 70} .5741362
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    177{col 22} .5476193{col 34}  .014104{col 46} .1876421{col 58} .5197845{col 70} .5754542
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0272848{col 34} .0420153{col 58}-.0556371{col 70} .1102067
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.6494
{txt}Ho: diff = 0                                     degrees of freedom = {res}     175

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.7415         {txt}Pr(|T| > |t|) = {res}0.5169          {txt}Pr(T > t) = {res}0.2585
{txt}
{com}. ttest state_capacity if year == 2000, by(lbgi1_obs)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    121{col 22} .5210093{col 34} .0170357{col 46} .1873927{col 58} .4872798{col 70} .5547388
       {txt}1 {c |}{res}{col 12}     56{col 22} .6051161{col 34} .0235774{col 46}  .176437{col 58} .5578659{col 70} .6523662
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    177{col 22} .5476193{col 34}  .014104{col 46} .1876421{col 58} .5197845{col 70} .5754542
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0841068{col 34} .0297416{col 58}-.1428052{col 70}-.0254084
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -2.8279
{txt}Ho: diff = 0                                     degrees of freedom = {res}     175

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0026         {txt}Pr(|T| > |t|) = {res}0.0052          {txt}Pr(T > t) = {res}0.9974
{txt}
{com}. ttest state_capacity if year >=1996  & year <=2006, by(betweenstd_obs)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  1,896{col 22} .5457559{col 34} .0042807{col 46} .1863948{col 58} .5373605{col 70} .5541512
       {txt}1 {c |}{res}{col 12}     46{col 22}  .644038{col 34} .0281765{col 46} .1911022{col 58} .5872877{col 70} .7007884
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}  1,942{col 22} .5480839{col 34} .0042447{col 46} .1870557{col 58} .5397592{col 70} .5564085
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0982822{col 34} .0278303{col 58}-.1528626{col 70}-.0437017
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -3.5315
{txt}Ho: diff = 0                                     degrees of freedom = {res}    1940

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0002         {txt}Pr(|T| > |t|) = {res}0.0004          {txt}Pr(T > t) = {res}0.9998
{txt}
{com}. ttest state_capacity if year == 2000, by(ggini_obs)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    100{col 22} .5883925{col 34} .0211645{col 46} .2116451{col 58} .5463975{col 70} .6303875
       {txt}1 {c |}{res}{col 12}     77{col 22} .4946672{col 34} .0153572{col 46} .1347592{col 58} .4640806{col 70} .5252538
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    177{col 22} .5476193{col 34}  .014104{col 46} .1876421{col 58} .5197845{col 70} .5754542
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0937253{col 34} .0276368{col 58}  .039181{col 70} .1482696
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  3.3913
{txt}Ho: diff = 0                                     degrees of freedom = {res}     175

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9996         {txt}Pr(|T| > |t|) = {res}0.0009          {txt}Pr(T > t) = {res}0.0004
{txt}
{com}. 
. /// Country Size
> * generate logged land area
. gen ln_area = ln(e_area)
{txt}(17,466 missing values generated)

{com}. ttest ln_area if year == 2000, by(ethg_obs)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}      8{col 22} 9.608227{col 34} 1.274723{col 46} 3.605462{col 58} 6.593985{col 70} 12.62247
       {txt}1 {c |}{res}{col 12}    162{col 22} 12.02031{col 34} .1571465{col 46} 2.000148{col 58} 11.70998{col 70} 12.33065
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    170{col 22}  11.9068{col 34}  .164712{col 46} 2.147581{col 58} 11.58165{col 70} 12.23196
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-2.412087{col 34} .7575963{col 58}-3.907723{col 70}-.9164519
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -3.1839
{txt}Ho: diff = 0                                     degrees of freedom = {res}     168

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0009         {txt}Pr(|T| > |t|) = {res}0.0017          {txt}Pr(T > t) = {res}0.9991
{txt}
{com}. ttest ln_area if year == 2000, by(low_ratio_obs)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     16{col 22} 8.031201{col 34} .5723836{col 46} 2.289534{col 58} 6.811194{col 70} 9.251208
       {txt}1 {c |}{res}{col 12}    154{col 22} 12.30946{col 34} .1359563{col 46} 1.687173{col 58} 12.04087{col 70} 12.57806
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    170{col 22}  11.9068{col 34}  .164712{col 46} 2.147581{col 58} 11.58165{col 70} 12.23196
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-4.278263{col 34} .4595104{col 58}-5.185422{col 70}-3.371105
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -9.3105
{txt}Ho: diff = 0                                     degrees of freedom = {res}     168

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}1.0000
{txt}
{com}. ttest ln_area if year == 2000, by(lbgi1_obs)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    114{col 22} 11.69611{col 34} .2161613{col 46} 2.307971{col 58} 11.26785{col 70} 12.12436
       {txt}1 {c |}{res}{col 12}     56{col 22} 12.33572{col 34}  .229456{col 46} 1.717092{col 58} 11.87588{col 70} 12.79556
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    170{col 22}  11.9068{col 34}  .164712{col 46} 2.147581{col 58} 11.58165{col 70} 12.23196
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.6396173{col 34} .3480114{col 58}-1.326656{col 70} .0474217
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -1.8379
{txt}Ho: diff = 0                                     degrees of freedom = {res}     168

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0339         {txt}Pr(|T| > |t|) = {res}0.0678          {txt}Pr(T > t) = {res}0.9661
{txt}
{com}. ttest ln_area if year >=1996  & year <=2006, by(betweenstd_obs)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  1,830{col 22} 11.87794{col 34} .0501833{col 46} 2.146765{col 58} 11.77952{col 70} 11.97636
       {txt}1 {c |}{res}{col 12}     46{col 22} 12.74721{col 34} .2619252{col 46} 1.776463{col 58} 12.21967{col 70} 13.27475
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}  1,876{col 22} 11.89925{col 34} .0494606{col 46} 2.142279{col 58} 11.80225{col 70} 11.99626
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.8692719{col 34} .3192614{col 58}-1.495417{col 70}-.2431267
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -2.7228
{txt}Ho: diff = 0                                     degrees of freedom = {res}    1874

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0033         {txt}Pr(|T| > |t|) = {res}0.0065          {txt}Pr(T > t) = {res}0.9967
{txt}
{com}. ttest ln_area if year == 2000, by(ggini_obs)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     94{col 22} 11.63513{col 34} .2493543{col 46} 2.417579{col 58} 11.13997{col 70}  12.1303
       {txt}1 {c |}{res}{col 12}     76{col 22} 12.24282{col 34} .1966256{col 46} 1.714142{col 58} 11.85112{col 70} 12.63452
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    170{col 22}  11.9068{col 34}  .164712{col 46} 2.147581{col 58} 11.58165{col 70} 12.23196
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.6076846{col 34} .3289464{col 58}-1.257086{col 70} .0417165
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -1.8474
{txt}Ho: diff = 0                                     degrees of freedom = {res}     168

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0332         {txt}Pr(|T| > |t|) = {res}0.0665          {txt}Pr(T > t) = {res}0.9668
{txt}
{com}. 
. 
. 
. 
. ********************************************************************************
. ************* Tables A3-A6: Additional correlation analysis ********************
. ********************************************************************************
. 
. ** Table A3: Report correlations for year 2000 
. pwcorr ethg low_ratio lbgi1 betweenstd SEI ggini if year ==2000, obs

             {txt}{c |}     ethg low_ra~o    lbgi1 betwee~d      SEI    ggini
{hline 13}{c +}{hline 54}
        ethg {c |} {res}  1.0000 
             {txt}{c |}{res}      173
             {txt}{c |}
   low_ratio {c |} {res}  0.1577   1.0000 
             {txt}{c |}{res}      149      154
             {txt}{c |}
       lbgi1 {c |} {res} -0.0234   0.0327   1.0000 
             {txt}{c |}{res}       55       56       56
             {txt}{c |}
  betweenstd {c |} {res}       .        .        .        . 
             {txt}{c |}{res}        0        0        0        0
             {txt}{c |}
         SEI {c |} {res}  0.5647   0.0704   0.0746        .   1.0000 
             {txt}{c |}{res}      162      154       56        0      177
             {txt}{c |}
       ggini {c |} {res}  0.4628  -0.0463   0.6149        .   0.1766   1.0000 
             {txt}{c |}{res}       74       74       27        0       77       77
             {txt}{c |}

{com}. matrix list r(C), format(%4.2f)
{res}
{txt}symmetric r(C)[6,6]
                  ethg   low_ratio       lbgi1  betweenstd         SEI       ggini
      ethg {res}       1.00
{txt} low_ratio {res}       0.16        1.00
{txt}     lbgi1 {res}      -0.02        0.03        1.00
{txt}betweenstd {res}          .           .           .           .
{txt}       SEI {res}       0.56        0.07        0.07           .        1.00
{txt}     ggini {res}       0.46       -0.05        0.61           .        0.18        1.00
{reset}
{com}. 
. ** Table A4: 1995-2005
. pwcorr ethg low_ratio lbgi1 betweenstd SEI ggini if year >=1995 & year <=2005, obs

             {txt}{c |}     ethg low_ra~o    lbgi1 betwee~d      SEI    ggini
{hline 13}{c +}{hline 54}
        ethg {c |} {res}  1.0000 
             {txt}{c |}{res}      173
             {txt}{c |}
   low_ratio {c |} {res}  0.1577   1.0000 
             {txt}{c |}{res}      149     1697
             {txt}{c |}
       lbgi1 {c |} {res} -0.0234   0.1296   1.0000 
             {txt}{c |}{res}       55      625      625
             {txt}{c |}
  betweenstd {c |} {res}       .   0.0442   0.0059   1.0000 
             {txt}{c |}{res}        0       46       30       46
             {txt}{c |}
         SEI {c |} {res}  0.5647   0.0625   0.0985   0.6389   1.0000 
             {txt}{c |}{res}      162     1697      625       46     1935
             {txt}{c |}
       ggini {c |} {res}  0.4628  -0.0529   0.2716   0.0464   0.1855   1.0000 
             {txt}{c |}{res}       74      796      294       21      826      826
             {txt}{c |}

{com}. matrix list r(C), format(%4.2f)
{res}
{txt}symmetric r(C)[6,6]
                  ethg   low_ratio       lbgi1  betweenstd         SEI       ggini
      ethg {res}       1.00
{txt} low_ratio {res}       0.16        1.00
{txt}     lbgi1 {res}      -0.02        0.13        1.00
{txt}betweenstd {res}          .        0.04        0.01        1.00
{txt}       SEI {res}       0.56        0.06        0.10        0.64        1.00
{txt}     ggini {res}       0.46       -0.05        0.27        0.05        0.19        1.00
{reset}
{com}. 
. 
. ** Table A5: Overlapping group: countries and time
. egen coverage_year = rownonmiss(ethg low_ratio lbgi1 betweenstd SEI ggini)
{txt}
{com}. bro if coverage_year >= 4
{txt}
{com}. gen overlap = 1 if coverage_year >= 4
{txt}(27,447 missing values generated)

{com}. 
. pwcorr ethg low_ratio lbgi1 betweenstd SEI ggini if overlap==1 , obs

             {txt}{c |}     ethg low_ra~o    lbgi1 betwee~d      SEI    ggini
{hline 13}{c +}{hline 54}
        ethg {c |} {res}  1.0000 
             {txt}{c |}{res}      202
             {txt}{c |}
   low_ratio {c |} {res}  0.1003   1.0000 
             {txt}{c |}{res}      202      625
             {txt}{c |}
       lbgi1 {c |} {res}  0.0052   0.3494   1.0000 
             {txt}{c |}{res}      102      517      517
             {txt}{c |}
  betweenstd {c |} {res}       .   0.3135   0.0059   1.0000 
             {txt}{c |}{res}        0       38       30       38
             {txt}{c |}
         SEI {c |} {res}  0.5497   0.0727   0.1190   0.6069   1.0000 
             {txt}{c |}{res}      202      625      517       38      625
             {txt}{c |}
       ggini {c |} {res}  0.4111  -0.0061   0.1834   0.0464   0.1424   1.0000 
             {txt}{c |}{res}      149      555      447       21      555      555
             {txt}{c |}

{com}. matrix list r(C), format(%4.2f)
{res}
{txt}symmetric r(C)[6,6]
                  ethg   low_ratio       lbgi1  betweenstd         SEI       ggini
      ethg {res}       1.00
{txt} low_ratio {res}       0.10        1.00
{txt}     lbgi1 {res}       0.01        0.35        1.00
{txt}betweenstd {res}          .        0.31        0.01        1.00
{txt}       SEI {res}       0.55        0.07        0.12        0.61        1.00
{txt}     ggini {res}       0.41       -0.01        0.18        0.05        0.14        1.00
{reset}
{com}. 
. 
. *** Table A6: 
. bys country_id: egen cumulated_coverage = total(coverage_year)
{txt}
{com}. 
. pwcorr ethg low_ratio lbgi1 betweenstd SEI ggini if country_name =="United States" | country_name == "Mexico" | country_name == "Ghana" | country_name == "Colombia" | country_name == "Brazil" | country_name == "Bolivia" | country_name == "Honduras" | country_name == "Mali" | country_name == "Peru" | country_name == "Senegal" | country_name == "Kenya" | country_name == "Phillippines"  | country_name == "Thailand" | country_name == "Benin" | country_name == "Nepal" | country_name == "Nicaragua" | country_name == "Guinea" | country_name == "Chile" | country_name == "Costa Rica" | country_name == "Ecuador" | country_name == "Malawai" | country_name == "Panama" | country_name == "Turkey" | country_name == "Madagascar"| country_name == "Sri Lanka" | country_name == "Trinidad and Tobago" | country_name == ""                     , obs

             {txt}{c |}     ethg low_ra~o    lbgi1 betwee~d      SEI    ggini
{hline 13}{c +}{hline 54}
        ethg {c |} {res}  1.0000 
             {txt}{c |}{res}       73
             {txt}{c |}
   low_ratio {c |} {res}  0.0958   1.0000 
             {txt}{c |}{res}       48      480
             {txt}{c |}
       lbgi1 {c |} {res} -0.4098   0.2681   1.0000 
             {txt}{c |}{res}       35      342      601
             {txt}{c |}
  betweenstd {c |} {res}       .   0.0145   0.1624   1.0000 
             {txt}{c |}{res}        0        9        7        9
             {txt}{c |}
         SEI {c |} {res}  0.4576   0.0423   0.3321   0.4500   1.0000 
             {txt}{c |}{res}       72      480      601        9     2874
             {txt}{c |}
       ggini {c |} {res}  0.2431  -0.2311   0.1514  -0.3752   0.1997   1.0000 
             {txt}{c |}{res}       45      383      520        9     1265     1525
             {txt}{c |}

{com}. matrix list r(C), format(%4.2f)
{res}
{txt}symmetric r(C)[6,6]
                  ethg   low_ratio       lbgi1  betweenstd         SEI       ggini
      ethg {res}       1.00
{txt} low_ratio {res}       0.10        1.00
{txt}     lbgi1 {res}      -0.41        0.27        1.00
{txt}betweenstd {res}          .        0.01        0.16        1.00
{txt}       SEI {res}       0.46        0.04        0.33        0.45        1.00
{txt}     ggini {res}       0.24       -0.23        0.15       -0.38        0.20        1.00
{reset}
{com}. 
. 
. **********************************************************************************
. ************* Figure A7-A12: Maps with standardized values ***************************
. **********************************************************************************
. 
. * Figure A7
. spmap z_ethg using worldcoor.dta if year ==2000, id(map_id) fcolor(Blues2) osize(vvthin vvthin vvthin vvthin) ndsize(vvthin) clmethod(quantile) title("Alesina et al.")
{res}{txt}
{com}. graph export Figure_A7.png, width(4000) replace
{txt}(note: file Figure_A7.png not found)
(file Figure_A7.png written in PNG format)

{com}. 
. * Figure A8
. spmap z_low_ratio using worldcoor.dta if year ==2000, id(map_id) fcolor(Blues2) osize(vvthin vvthin vvthin vvthin) ndsize(vvthin) clmethod(quantile) title("Cederman et al.")
{res}{txt}
{com}. graph export Figure_A8.png, width(4000) replace
{txt}(note: file Figure_A8.png not found)
(file Figure_A8.png written in PNG format)

{com}. 
. * Figure A9
. * Prepapre Baldwin and Huber with coverager 1996-2005 for data visualization
. g betweenstd_2000 = betweenstd
{txt}(28,026 missing values generated)

{com}. xfill betweenstd_2000, i(country_id)
{txt}
{com}. spmap z_lbgi1 using worldcoor.dta if year ==2000, id(map_id) fcolor(Blues2) osize(vvthin vvthin vvthin vvthin) ndsize(vvthin) clmethod(quantile) title("")
{res}{txt}
{com}. graph export Figure_A9.png, width(4000) replace
{txt}(note: file Figure_A9.png not found)
(file Figure_A9.png written in PNG format)

{com}. 
. * Figure A10
. spmap betweenstd_2000 using worldcoor.dta if year ==2000, id(map_id) fcolor(Blues2) osize(vvthin vvthin vvthin vvthin) ndsize(vvthin) clmethod(quantile) title("")
{res}{txt}
{com}. graph export Figure_A10.png, width(4000) replace
{txt}(note: file Figure_A10.png not found)
(file Figure_A10.png written in PNG format)

{com}. 
. * Figure A11
. spmap z_SEI using worldcoor.dta if year ==2000, id(map_id) fcolor(Blues2) osize(vvthin vvthin vvthin vvthin) ndsize(vvthin) clmethod(quantile) title("")
{res}{txt}
{com}. graph export Figure_A11.png, width(4000) replace
{txt}(note: file Figure_A11.png not found)
(file Figure_A11.png written in PNG format)

{com}. 
. * Figure A12
. spmap z_ggini using worldcoor.dta if year ==2000, id(map_id) fcolor(Blues2) osize(vvthin vvthin vvthin vvthin) ndsize(vvthin) clmethod(quantile) title("")
{res}{txt}
{com}. graph export Figure_A12.png, width(4000) replace
{txt}(note: file Figure_A12.png not found)
(file Figure_A12.png written in PNG format)

{com}. 
. **************************************************************************
. ************** Figure A13: Inspection of Alesina et al. and Houle **********
. **************************************************************************
. 
. set scheme s1mono
{txt}
{com}. twoway (scatter lbgi1 ethg_ip,                  mlabel(country_name) msize(medium) mlabpos(3) mlabsize(2) mlabangle(45)) || (lfit lbgi1 ethg,  clwidth(medthick)), ///
>                 ytitle("Between-Group Inequality, Houle", size(small)) xlabel(,labsize(small)) xtitle("Ethnic Gini (Ethnologue), Alesina et al.", size(small)) title("", size(medlarge)) subtitle("", size(vsmall)) legend(off) graphregion(color(white)) plotregion(color(white)) yscale(range(0 2.5)) ylabel(0(0.5)2.5) || if year == 2000
{res}{txt}
{com}. 
. graph export Figure_A13.png, width(4000) replace
{txt}(note: file Figure_A13.png not found)
(file Figure_A13.png written in PNG format)

{com}. 
. 
. ****************************************************************************
. ************** Table A7: Standardized scores for selected countries  *******
. ****************************************************************************
. 
. *** Observations for the year 2000 or at available point between 1995-2005 for Baldwin and Huber
. browse country_name year z_ethg z_low_ratio z_lbgi1 betweenstd z_SEI z_ggini if year >= 1995 & year <= 2005 & country_name =="Switzerland" 
{txt}
{com}. browse country_name year z_ethg z_low_ratio z_lbgi1 betweenstd z_SEI z_ggini if year >= 1995 & year <= 2005 & country_name =="South Africa" 
{txt}
{com}. browse country_name year z_ethg z_low_ratio z_lbgi1 betweenstd z_SEI z_ggini if year >= 1995 & year <= 2005 & country_name =="Guatemala" 
{txt}
{com}. browse country_name year z_ethg z_low_ratio z_lbgi1 betweenstd z_SEI z_ggini if year >= 1995 & year <= 2005 & country_name =="Peru" 
{txt}
{com}. browse country_name year z_ethg z_low_ratio z_lbgi1 betweenstd z_SEI z_ggini if year >= 1995 & year <= 2005 & country_name =="Brazil" 
{txt}
{com}. browse country_name year z_ethg z_low_ratio z_lbgi1 betweenstd z_SEI z_ggini if year >= 1995 & year <= 2005 & country_name =="Nigeria" 
{txt}
{com}. 
. 
. 
. **************************************************************************
. ***** Table A8: Correlations of vertical inequaliy measures **************
. **************************************************************************
. 
. * rescale so high values indicate more inequality
. generate ws = ((nwageshare-140.9411)/(1.674932-140.9411)*(1-0)+0)
{txt}(24,601 missing values generated)

{com}. generate v2peapsecon_rescaled = ((v2peapsecon-3.638)/(-3.062-3.638)*(1-0)+0)
{txt}(9,871 missing values generated)

{com}. 
. pwcorr gini_disp wdi_gini v2peapsecon_rescaled ws

             {txt}{c |} gini_d~p wdi_gini v2peap~d       ws
{hline 13}{c +}{hline 36}
   gini_disp {c |} {res}  1.0000 
    {txt}wdi_gini {c |} {res}  0.9001   1.0000 
{txt}v2peapseco~d {c |} {res}  0.6487   0.6235   1.0000 
          {txt}ws {c |} {res}  0.4378   0.4439   0.4660   1.0000 
{txt}
{com}. matrix list r(C), format(%4.2f)
{res}
{txt}symmetric r(C)[4,4]
                 gini_disp      wdi_gini  v2peapseco~d            ws
   gini_disp {res}         1.00
{txt}    wdi_gini {res}         0.90          1.00
{txt}v2peapseco~d {res}         0.65          0.62          1.00
{txt}          ws {res}         0.44          0.44          0.47          1.00
{reset}
{com}. 
. 
. 
. 
. ****************************************************************************
. ******* Table A9: Discriminant validation **********************************
. ****************************************************************************
. clonevar eth_fragm_ip = eth_fragm
{txt}(27,553 missing values generated)

{com}. xfill eth_fragm_ip, i(country_id)
{txt}
{com}. 
. clonevar ef_ip = ef
{txt}(27,622 missing values generated)

{com}. xfill ef_ip, i(country_id)
{txt}
{com}. 
. 
. pwcorr ethg gini_disp e_peedgini eth_fragm_ip ef_ip, obs

             {txt}{c |}     ethg gini_d~p e_peed~i eth_fr~p    ef_ip
{hline 13}{c +}{hline 45}
        ethg {c |} {res}  1.0000 
             {txt}{c |}{res}      519
             {txt}{c |}
   gini_disp {c |} {res}  0.3682   1.0000 
             {txt}{c |}{res}      400     5720
             {txt}{c |}
  e_peedgini {c |} {res}  0.3868   0.3532   1.0000 
             {txt}{c |}{res}      264     3693    11014
             {txt}{c |}
eth_fragm_ip {c |} {res}  0.4635   0.4529   0.4405   1.0000 
             {txt}{c |}{res}      519     5305    10756    20933
             {txt}{c |}
       ef_ip {c |} {res}  0.4617   0.4826   0.4112   0.8575   1.0000 
             {txt}{c |}{res}      450     4952    10569    18150    18150
             {txt}{c |}

{com}. pwcorr low_ratio gini_disp e_peedgini eth_fragm_ip ef_ip, obs

             {txt}{c |} low_ra~o gini_d~p e_peed~i eth_fr~p    ef_ip
{hline 13}{c +}{hline 45}
   low_ratio {c |} {res}  1.0000 
             {txt}{c |}{res}     3042
             {txt}{c |}
   gini_disp {c |} {res}  0.1286   1.0000 
             {txt}{c |}{res}     2552     5720
             {txt}{c |}
  e_peedgini {c |} {res} -0.1147   0.3532   1.0000 
             {txt}{c |}{res}     2552     3693    11014
             {txt}{c |}
eth_fragm_ip {c |} {res} -0.0023   0.4529   0.4405   1.0000 
             {txt}{c |}{res}     2932     5305    10756    20933
             {txt}{c |}
       ef_ip {c |} {res}  0.0615   0.4826   0.4112   0.8575   1.0000 
             {txt}{c |}{res}     2916     4952    10569    18150    18150
             {txt}{c |}

{com}. pwcorr lbgi1 gini_disp e_peedgini eth_fragm_ip ef_ip, obs

             {txt}{c |}    lbgi1 gini_d~p e_peed~i eth_fr~p    ef_ip
{hline 13}{c +}{hline 45}
       lbgi1 {c |} {res}  1.0000 
             {txt}{c |}{res}     1641
             {txt}{c |}
   gini_disp {c |} {res}  0.1344   1.0000 
             {txt}{c |}{res}     1323     5720
             {txt}{c |}
  e_peedgini {c |} {res}  0.1685   0.3532   1.0000 
             {txt}{c |}{res}     1534     3693    11014
             {txt}{c |}
eth_fragm_ip {c |} {res}  0.1410   0.4529   0.4405   1.0000 
             {txt}{c |}{res}     1630     5305    10756    20933
             {txt}{c |}
       ef_ip {c |} {res}  0.1455   0.4826   0.4112   0.8575   1.0000 
             {txt}{c |}{res}     1616     4952    10569    18150    18150
             {txt}{c |}

{com}. pwcorr betweenstd gini_disp e_peedgini eth_fragm_ip ef_ip, obs

             {txt}{c |} betwee~d gini_d~p e_peed~i eth_fr~p    ef_ip
{hline 13}{c +}{hline 45}
  betweenstd {c |} {res}  1.0000 
             {txt}{c |}{res}       46
             {txt}{c |}
   gini_disp {c |} {res}  0.5859   1.0000 
             {txt}{c |}{res}       46     5720
             {txt}{c |}
  e_peedgini {c |} {res}  0.3117   0.3532   1.0000 
             {txt}{c |}{res}       42     3693    11014
             {txt}{c |}
eth_fragm_ip {c |} {res}  0.6001   0.4529   0.4405   1.0000 
             {txt}{c |}{res}       46     5305    10756    20933
             {txt}{c |}
       ef_ip {c |} {res}  0.6255   0.4826   0.4112   0.8575   1.0000 
             {txt}{c |}{res}       46     4952    10569    18150    18150
             {txt}{c |}

{com}. pwcorr SEI gini_disp e_peedgini eth_fragm_ip ef_ip, obs

             {txt}{c |}      SEI gini_d~p e_peed~i eth_fr~p    ef_ip
{hline 13}{c +}{hline 45}
         SEI {c |} {res}  1.0000 
             {txt}{c |}{res}    18157
             {txt}{c |}
   gini_disp {c |} {res}  0.6140   1.0000 
             {txt}{c |}{res}     5431     5720
             {txt}{c |}
  e_peedgini {c |} {res}  0.6086   0.3532   1.0000 
             {txt}{c |}{res}    10867     3693    11014
             {txt}{c |}
eth_fragm_ip {c |} {res}  0.3369   0.4529   0.4405   1.0000 
             {txt}{c |}{res}    16637     5305    10756    20933
             {txt}{c |}
       ef_ip {c |} {res}  0.3821   0.4826   0.4112   0.8575   1.0000 
             {txt}{c |}{res}    15530     4952    10569    18150    18150
             {txt}{c |}

{com}. pwcorr ggini gini_disp e_peedgini eth_fragm_ip ef_ip, obs

             {txt}{c |}    ggini gini_d~p e_peed~i eth_fr~p    ef_ip
{hline 13}{c +}{hline 45}
       ggini {c |} {res}  1.0000 
             {txt}{c |}{res}     4254
             {txt}{c |}
   gini_disp {c |} {res}  0.0374   1.0000 
             {txt}{c |}{res}     1942     5720
             {txt}{c |}
  e_peedgini {c |} {res}  0.5634   0.3532   1.0000 
             {txt}{c |}{res}     3513     3693    11014
             {txt}{c |}
eth_fragm_ip {c |} {res}  0.4773   0.4529   0.4405   1.0000 
             {txt}{c |}{res}     4127     5305    10756    20933
             {txt}{c |}
       ef_ip {c |} {res}  0.4468   0.4826   0.4112   0.8575   1.0000 
             {txt}{c |}{res}     4086     4952    10569    18150    18150
             {txt}{c |}

{com}. 
. 
. 
. 
. *********************************************************************
. ************** Table A10-A11: Replication Alesina et al. 2016 *******
. *********************************************************************
. 
. *** Table A10 ***
. 
. * Ensure sample overlap
. replace lnrgdppcch2000 =. if year!=2000
{txt}(0 real changes made)

{com}. 
. * Replication of Alesina et al. 2016: GDP per capita
. 
. xi: areg  lnrgdppcch2000        z_ethg, a(region) robust
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       173
{txt}Absorbed variable: {bf:region}{col 49}No. of categories{col 67}= {res}         8
{txt}{col 49}F({res}   1{txt},{res}    164{txt}){col 67}= {res}     24.85
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.6700
{txt}{col 49}Adj R-squared{col 67}= {res}    0.6539
{txt}{col 49}Root MSE{col 67}= {res}    0.7983

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}lnrgdpp~2000{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}z_ethg {c |}{col 14}{res}{space 2}-.3881648{col 26}{space 2} .0778626{col 37}{space 1}   -4.99{col 46}{space 3}0.000{col 54}{space 4}-.5419072{col 67}{space 3}-.2344224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 8.447972{col 26}{space 2} .0605068{col 37}{space 1}  139.62{col 46}{space 3}0.000{col 54}{space 4} 8.328499{col 67}{space 3} 8.567444
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo m1
{txt}
{com}. 
. xi: areg  lnrgdppcch2000        z_low_ratio, a(region) robust
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       149
{txt}Absorbed variable: {bf:region}{col 49}No. of categories{col 67}= {res}         8
{txt}{col 49}F({res}   1{txt},{res}    140{txt}){col 67}= {res}      1.74
{txt}{col 49}Prob > F{col 67}= {res}    0.1890
{txt}{col 49}R-squared{col 67}= {res}    0.6705
{txt}{col 49}Adj R-squared{col 67}= {res}    0.6517
{txt}{col 49}Root MSE{col 67}= {res}    0.7995

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}lnrgdpp~2000{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}z_low_ratio {c |}{col 14}{res}{space 2} .0738593{col 26}{space 2} .0559517{col 37}{space 1}    1.32{col 46}{space 3}0.189{col 54}{space 4}-.0367602{col 67}{space 3} .1844787
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  8.33677{col 26}{space 2} .0656337{col 37}{space 1}  127.02{col 46}{space 3}0.000{col 54}{space 4} 8.207008{col 67}{space 3} 8.466531
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo m2
{txt}
{com}. 
. xi: areg  lnrgdppcch2000        z_lbgi1, a(region) robust
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}        55
{txt}Absorbed variable: {bf:region}{col 49}No. of categories{col 67}= {res}         8
{txt}{col 49}F({res}   1{txt},{res}     46{txt}){col 67}= {res}      7.27
{txt}{col 49}Prob > F{col 67}= {res}    0.0098
{txt}{col 49}R-squared{col 67}= {res}    0.7988
{txt}{col 49}Adj R-squared{col 67}= {res}    0.7638
{txt}{col 49}Root MSE{col 67}= {res}    0.5909

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}lnrgdpp~2000{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}z_lbgi1 {c |}{col 14}{res}{space 2} .3460945{col 26}{space 2} .1283805{col 37}{space 1}    2.70{col 46}{space 3}0.010{col 54}{space 4} .0876779{col 67}{space 3} .6045111
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 8.689106{col 26}{space 2} .0781383{col 37}{space 1}  111.20{col 46}{space 3}0.000{col 54}{space 4} 8.531822{col 67}{space 3}  8.84639
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo m3
{txt}
{com}. 
. xi: areg  lnrgdppcch2000        z_SEI, a(region) robust
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       162
{txt}Absorbed variable: {bf:region}{col 49}No. of categories{col 67}= {res}         8
{txt}{col 49}F({res}   1{txt},{res}    153{txt}){col 67}= {res}     49.57
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.7279
{txt}{col 49}Adj R-squared{col 67}= {res}    0.7137
{txt}{col 49}Root MSE{col 67}= {res}    0.7360

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}lnrgdpp~2000{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}z_SEI {c |}{col 14}{res}{space 2}-.7081998{col 26}{space 2} .1005866{col 37}{space 1}   -7.04{col 46}{space 3}0.000{col 54}{space 4}-.9069178{col 67}{space 3}-.5094818
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 8.010251{col 26}{space 2} .0784346{col 37}{space 1}  102.13{col 46}{space 3}0.000{col 54}{space 4} 7.855296{col 67}{space 3} 8.165205
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo m4
{txt}
{com}. 
. xi: areg  lnrgdppcch2000        z_ggini, a(region) robust
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}        74
{txt}Absorbed variable: {bf:region}{col 49}No. of categories{col 67}= {res}         7
{txt}{col 49}F({res}   1{txt},{res}     66{txt}){col 67}= {res}      0.80
{txt}{col 49}Prob > F{col 67}= {res}    0.3743
{txt}{col 49}R-squared{col 67}= {res}    0.6216
{txt}{col 49}Adj R-squared{col 67}= {res}    0.5814
{txt}{col 49}Root MSE{col 67}= {res}    0.7165

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}lnrgdpp~2000{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}z_ggini {c |}{col 14}{res}{space 2}-.1386786{col 26}{space 2}  .155027{col 37}{space 1}   -0.89{col 46}{space 3}0.374{col 54}{space 4}   -.4482{col 67}{space 3} .1708427
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 7.532906{col 26}{space 2} .0741568{col 37}{space 1}  101.58{col 46}{space 3}0.000{col 54}{space 4} 7.384848{col 67}{space 3} 7.680965
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo m5
{txt}
{com}. 
.   esttab using output_1.rtf, b(3) se(3) se star(* 0.05  ** 0.01 *** 0.001) stats(N r2, fmt(0 3))
{res}{txt}(output written to {browse  `"output_1.rtf"'})

{com}.   
.   eststo clear
{txt}
{com}. 
. 
. *** Check for sample influence: Table A11 ***
. 
. reg z_ethg_ip z_low_ratio z_lbgi1 z_SEI z_ggini

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       415
{txt}{hline 13}{c +}{hline 34}   F(4, 410)       = {res}    84.07
{txt}       Model {c |} {res} 115.270271         4  28.8175678   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res}  140.54212       410  .342785659   {txt}R-squared       ={res}    0.4506
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.4452
{txt}       Total {c |} {res} 255.812391       414  .617904327   {txt}Root MSE        =   {res} .58548

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   z_ethg_ip{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}z_low_ratio {c |}{col 14}{res}{space 2} .3825738{col 26}{space 2} .0843173{col 37}{space 1}    4.54{col 46}{space 3}0.000{col 54}{space 4} .2168257{col 67}{space 3} .5483219
{txt}{space 5}z_lbgi1 {c |}{col 14}{res}{space 2} .1116572{col 26}{space 2} .0564644{col 37}{space 1}    1.98{col 46}{space 3}0.049{col 54}{space 4} .0006614{col 67}{space 3}  .222653
{txt}{space 7}z_SEI {c |}{col 14}{res}{space 2} .6915638{col 26}{space 2} .0496373{col 37}{space 1}   13.93{col 46}{space 3}0.000{col 54}{space 4} .5939885{col 67}{space 3} .7891392
{txt}{space 5}z_ggini {c |}{col 14}{res}{space 2} .2705796{col 26}{space 2} .0403566{col 37}{space 1}    6.70{col 46}{space 3}0.000{col 54}{space 4}  .191248{col 67}{space 3} .3499111
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .7458257{col 26}{space 2} .0344343{col 37}{space 1}   21.66{col 46}{space 3}0.000{col 54}{space 4} .6781359{col 67}{space 3} .8135156
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. generate baseline1 = e(sample)
{txt}
{com}. 
. xi: areg  lnrgdppcch2000        z_ethg if baseline1 ==1, a(region) robust
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}        27
{txt}Absorbed variable: {bf:region}{col 49}No. of categories{col 67}= {res}         6
{txt}{col 49}F({res}   1{txt},{res}     20{txt}){col 67}= {res}      0.07
{txt}{col 49}Prob > F{col 67}= {res}    0.7972
{txt}{col 49}R-squared{col 67}= {res}    0.8389
{txt}{col 49}Adj R-squared{col 67}= {res}    0.7906
{txt}{col 49}Root MSE{col 67}= {res}    0.4942

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}lnrgdpp~2000{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}z_ethg {c |}{col 14}{res}{space 2}-.0584786{col 26}{space 2} .2245605{col 37}{space 1}   -0.26{col 46}{space 3}0.797{col 54}{space 4}-.5269035{col 67}{space 3} .4099463
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 7.916616{col 26}{space 2} .1451834{col 37}{space 1}   54.53{col 46}{space 3}0.000{col 54}{space 4} 7.613769{col 67}{space 3} 8.219464
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo m1
{txt}
{com}. 
. xi: areg  lnrgdppcch2000        z_low_ratio if baseline1 ==1, a(region) robust
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}        27
{txt}Absorbed variable: {bf:region}{col 49}No. of categories{col 67}= {res}         6
{txt}{col 49}F({res}   1{txt},{res}     20{txt}){col 67}= {res}      0.31
{txt}{col 49}Prob > F{col 67}= {res}    0.5815
{txt}{col 49}R-squared{col 67}= {res}    0.8403
{txt}{col 49}Adj R-squared{col 67}= {res}    0.7924
{txt}{col 49}Root MSE{col 67}= {res}    0.4920

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}lnrgdpp~2000{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}z_low_ratio {c |}{col 14}{res}{space 2} .1633646{col 26}{space 2} .2916023{col 37}{space 1}    0.56{col 46}{space 3}0.582{col 54}{space 4}-.4449071{col 67}{space 3} .7716364
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 7.915845{col 26}{space 2} .0960445{col 37}{space 1}   82.42{col 46}{space 3}0.000{col 54}{space 4} 7.715499{col 67}{space 3}  8.11619
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo m2
{txt}
{com}. 
. xi: areg  lnrgdppcch2000        z_lbgi1 if baseline1 ==1, a(region) robust
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}        27
{txt}Absorbed variable: {bf:region}{col 49}No. of categories{col 67}= {res}         6
{txt}{col 49}F({res}   1{txt},{res}     20{txt}){col 67}= {res}      0.27
{txt}{col 49}Prob > F{col 67}= {res}    0.6098
{txt}{col 49}R-squared{col 67}= {res}    0.8394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.7912
{txt}{col 49}Root MSE{col 67}= {res}    0.4934

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}lnrgdpp~2000{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}z_lbgi1 {c |}{col 14}{res}{space 2} .0955581{col 26}{space 2} .1842848{col 37}{space 1}    0.52{col 46}{space 3}0.610{col 54}{space 4}-.2888532{col 67}{space 3} .4799694
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 7.924831{col 26}{space 2} .1056935{col 37}{space 1}   74.98{col 46}{space 3}0.000{col 54}{space 4} 7.704358{col 67}{space 3} 8.145304
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo m3
{txt}
{com}. 
. xi: areg  lnrgdppcch2000        z_SEI if baseline1 ==1, a(region) robust
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}        27
{txt}Absorbed variable: {bf:region}{col 49}No. of categories{col 67}= {res}         6
{txt}{col 49}F({res}   1{txt},{res}     20{txt}){col 67}= {res}      4.77
{txt}{col 49}Prob > F{col 67}= {res}    0.0411
{txt}{col 49}R-squared{col 67}= {res}    0.8754
{txt}{col 49}Adj R-squared{col 67}= {res}    0.8380
{txt}{col 49}Root MSE{col 67}= {res}    0.4346

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}lnrgdpp~2000{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}z_SEI {c |}{col 14}{res}{space 2} -.500817{col 26}{space 2} .2293573{col 37}{space 1}   -2.18{col 46}{space 3}0.041{col 54}{space 4}-.9792481{col 67}{space 3} -.022386
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 7.756889{col 26}{space 2} .1069624{col 37}{space 1}   72.52{col 46}{space 3}0.000{col 54}{space 4}  7.53377{col 67}{space 3} 7.980009
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo m4
{txt}
{com}. 
. xi: areg  lnrgdppcch2000        z_ggini if baseline1 ==1, a(region) robust
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}        27
{txt}Absorbed variable: {bf:region}{col 49}No. of categories{col 67}= {res}         6
{txt}{col 49}F({res}   1{txt},{res}     20{txt}){col 67}= {res}      1.54
{txt}{col 49}Prob > F{col 67}= {res}    0.2283
{txt}{col 49}R-squared{col 67}= {res}    0.8434
{txt}{col 49}Adj R-squared{col 67}= {res}    0.7964
{txt}{col 49}Root MSE{col 67}= {res}    0.4872

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}lnrgdpp~2000{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}z_ggini {c |}{col 14}{res}{space 2} .1471531{col 26}{space 2} .1184117{col 37}{space 1}    1.24{col 46}{space 3}0.228{col 54}{space 4}-.0998494{col 67}{space 3} .3941556
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 7.922022{col 26}{space 2} .0903037{col 37}{space 1}   87.73{col 46}{space 3}0.000{col 54}{space 4} 7.733651{col 67}{space 3} 8.110392
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo m5
{txt}
{com}. 
.         esttab using output_1b.rtf, b(3) se(3) se star(* 0.05  ** 0.01 *** 0.001) stats(N r2, fmt(0 3))
{res}{txt}(output written to {browse  `"output_1b.rtf"'})

{com}.   
.         eststo clear
{txt}
{com}. 
. 
. 
. ************************************************************
. ************** Table A12-A13: Replication Houle 2015 *******
. ************************************************************
. 
. *** Table A12 ***
. 
. probit autocracy z_ethg_ip lwgi1 c.z_ethg_ip#c.lwgi1 loilincome lethnici lgdptreis lonegrowthtreis lmoslemi lwpch lagedem sizedom western share if ldemocracy==1, cluster(cowcode)

{txt}note: western != 0 predicts failure perfectly
      western dropped and 176 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-48.255079}  
Iteration 1:{space 3}log pseudolikelihood = {res:-39.425225}  
Iteration 2:{space 3}log pseudolikelihood = {res:-37.985865}  
Iteration 3:{space 3}log pseudolikelihood = {res: -37.93714}  
Iteration 4:{space 3}log pseudolikelihood = {res:-37.937045}  
Iteration 5:{space 3}log pseudolikelihood = {res:-37.937045}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}       710
{txt}{col 49}Wald chi2({res}12{txt}){col 67}= {res}     73.51
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-37.937045{txt}{col 49}Pseudo R2{col 67}= {res}    0.2138

{txt}{ralign 85:(Std. Err. adjusted for {res:57} clusters in cowcode)}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}          autocracy{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}z_ethg_ip {c |}{col 21}{res}{space 2}  .323938{col 33}{space 2} .3011115{col 44}{space 1}    1.08{col 53}{space 3}0.282{col 61}{space 4}-.2662296{col 74}{space 3} .9141057
{txt}{space 14}lwgi1 {c |}{col 21}{res}{space 2} 3.090317{col 33}{space 2} 1.650183{col 44}{space 1}    1.87{col 53}{space 3}0.061{col 61}{space 4}-.1439813{col 74}{space 3} 6.324616
{txt}{space 19} {c |}
c.z_ethg_ip#c.lwgi1 {c |}{col 21}{res}{space 2}-.4791367{col 33}{space 2} .8621385{col 44}{space 1}   -0.56{col 53}{space 3}0.578{col 61}{space 4}-2.168897{col 74}{space 3} 1.210624
{txt}{space 19} {c |}
{space 9}loilincome {c |}{col 21}{res}{space 2} .4007239{col 33}{space 2} .4209365{col 44}{space 1}    0.95{col 53}{space 3}0.341{col 61}{space 4}-.4242965{col 74}{space 3} 1.225744
{txt}{space 11}lethnici {c |}{col 21}{res}{space 2}-.0132988{col 33}{space 2} .0106544{col 44}{space 1}   -1.25{col 53}{space 3}0.212{col 61}{space 4} -.034181{col 74}{space 3} .0075835
{txt}{space 10}lgdptreis {c |}{col 21}{res}{space 2}  .034524{col 33}{space 2} .2715914{col 44}{space 1}    0.13{col 53}{space 3}0.899{col 61}{space 4}-.4977855{col 74}{space 3} .5668334
{txt}{space 4}lonegrowthtreis {c |}{col 21}{res}{space 2}-.0225945{col 33}{space 2} .0149933{col 44}{space 1}   -1.51{col 53}{space 3}0.132{col 61}{space 4}-.0519809{col 74}{space 3} .0067918
{txt}{space 11}lmoslemi {c |}{col 21}{res}{space 2} .0050363{col 33}{space 2} .0047081{col 44}{space 1}    1.07{col 53}{space 3}0.285{col 61}{space 4}-.0041913{col 74}{space 3} .0142639
{txt}{space 14}lwpch {c |}{col 21}{res}{space 2} 6.614719{col 33}{space 2} 6.688207{col 44}{space 1}    0.99{col 53}{space 3}0.323{col 61}{space 4}-6.493927{col 74}{space 3} 19.72336
{txt}{space 12}lagedem {c |}{col 21}{res}{space 2} .0124364{col 33}{space 2} .0123362{col 44}{space 1}    1.01{col 53}{space 3}0.313{col 61}{space 4}-.0117421{col 74}{space 3} .0366149
{txt}{space 12}sizedom {c |}{col 21}{res}{space 2}-2.622737{col 33}{space 2} .8030928{col 44}{space 1}   -3.27{col 53}{space 3}0.001{col 61}{space 4}-4.196769{col 74}{space 3}-1.048704
{txt}{space 12}western {c |}{col 21}{res}{space 2}        0{col 33}{txt}  (omitted)
{space 14}share {c |}{col 21}{res}{space 2}  .376004{col 33}{space 2}  .422104{col 44}{space 1}    0.89{col 53}{space 3}0.373{col 61}{space 4}-.4513047{col 74}{space 3} 1.203313
{txt}{space 14}_cons {c |}{col 21}{res}{space 2}-5.500956{col 33}{space 2}  5.03174{col 44}{space 1}   -1.09{col 53}{space 3}0.274{col 61}{space 4}-15.36299{col 74}{space 3} 4.361074
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo m11
{txt}
{com}. 
. probit autocracy z_low_ratio lwgi1 c.z_low_ratio#c.lwgi1 loilincome lethnici lgdptreis lonegrowthtreis lmoslemi lwpch lagedem sizedom western share if ldemocracy==1, cluster(cowcode)

{txt}note: western != 0 predicts failure perfectly
      western dropped and 198 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-57.625684}  
Iteration 1:{space 3}log pseudolikelihood = {res:-47.077336}  
Iteration 2:{space 3}log pseudolikelihood = {res:-45.355893}  
Iteration 3:{space 3}log pseudolikelihood = {res:-45.327995}  
Iteration 4:{space 3}log pseudolikelihood = {res:-45.327921}  
Iteration 5:{space 3}log pseudolikelihood = {res:-45.327921}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}       768
{txt}{col 49}Wald chi2({res}12{txt}){col 67}= {res}     50.50
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-45.327921{txt}{col 49}Pseudo R2{col 67}= {res}    0.2134

{txt}{ralign 87:(Std. Err. adjusted for {res:58} clusters in cowcode)}
{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}            autocracy{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}z_low_ratio {c |}{col 23}{res}{space 2}-.7399174{col 35}{space 2} .9083814{col 46}{space 1}   -0.81{col 55}{space 3}0.415{col 63}{space 4}-2.520312{col 76}{space 3} 1.040477
{txt}{space 16}lwgi1 {c |}{col 23}{res}{space 2} 4.298429{col 35}{space 2} 1.512177{col 46}{space 1}    2.84{col 55}{space 3}0.004{col 63}{space 4} 1.334616{col 76}{space 3} 7.262241
{txt}{space 21} {c |}
c.z_low_ratio#c.lwgi1 {c |}{col 23}{res}{space 2}  3.39282{col 35}{space 2}  2.61162{col 46}{space 1}    1.30{col 55}{space 3}0.194{col 63}{space 4}-1.725862{col 76}{space 3} 8.511502
{txt}{space 21} {c |}
{space 11}loilincome {c |}{col 23}{res}{space 2} .1225754{col 35}{space 2} .4699528{col 46}{space 1}    0.26{col 55}{space 3}0.794{col 63}{space 4}-.7985151{col 76}{space 3} 1.043666
{txt}{space 13}lethnici {c |}{col 23}{res}{space 2}-.0093365{col 35}{space 2} .0103814{col 46}{space 1}   -0.90{col 55}{space 3}0.368{col 63}{space 4}-.0296836{col 76}{space 3} .0110106
{txt}{space 12}lgdptreis {c |}{col 23}{res}{space 2}  .146827{col 35}{space 2} .1886305{col 46}{space 1}    0.78{col 55}{space 3}0.436{col 63}{space 4} -.222882{col 76}{space 3} .5165359
{txt}{space 6}lonegrowthtreis {c |}{col 23}{res}{space 2} .0036139{col 35}{space 2} .0301424{col 46}{space 1}    0.12{col 55}{space 3}0.905{col 63}{space 4}-.0554641{col 76}{space 3} .0626918
{txt}{space 13}lmoslemi {c |}{col 23}{res}{space 2} .0054481{col 35}{space 2} .0058934{col 46}{space 1}    0.92{col 55}{space 3}0.355{col 63}{space 4}-.0061027{col 76}{space 3}  .016999
{txt}{space 16}lwpch {c |}{col 23}{res}{space 2} -3.58007{col 35}{space 2} 2.764173{col 46}{space 1}   -1.30{col 55}{space 3}0.195{col 63}{space 4} -8.99775{col 76}{space 3}  1.83761
{txt}{space 14}lagedem {c |}{col 23}{res}{space 2} .0187819{col 35}{space 2} .0110672{col 46}{space 1}    1.70{col 55}{space 3}0.090{col 63}{space 4}-.0029094{col 76}{space 3} .0404732
{txt}{space 14}sizedom {c |}{col 23}{res}{space 2}-2.621339{col 35}{space 2} .9345221{col 46}{space 1}   -2.81{col 55}{space 3}0.005{col 63}{space 4}-4.452969{col 76}{space 3}-.7897092
{txt}{space 14}western {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
{space 16}share {c |}{col 23}{res}{space 2} .2013805{col 35}{space 2} .4095129{col 46}{space 1}    0.49{col 55}{space 3}0.623{col 63}{space 4}  -.60125{col 76}{space 3} 1.004011
{txt}{space 16}_cons {c |}{col 23}{res}{space 2}-1.116203{col 35}{space 2} 1.738961{col 46}{space 1}   -0.64{col 55}{space 3}0.521{col 63}{space 4}-4.524503{col 76}{space 3} 2.292097
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo m12
{txt}
{com}. 
. probit autocracy z_lbgi1 lwgi1 c.z_lbgi1#c.lwgi1 loilincome lethnici lgdptreis lonegrowthtreis lmoslemi lwpch lagedem sizedom western share if ldemocracy==1, cluster(cowcode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-183.54683}  
Iteration 1:{space 3}log pseudolikelihood = {res:-146.26827}  
Iteration 2:{space 3}log pseudolikelihood = {res:-138.32951}  
Iteration 3:{space 3}log pseudolikelihood = {res:-137.72516}  
Iteration 4:{space 3}log pseudolikelihood = {res:-137.70985}  
Iteration 5:{space 3}log pseudolikelihood = {res:-137.70985}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}     1,607
{txt}{col 49}Wald chi2({res}13{txt}){col 67}= {res}    127.06
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-137.70985{txt}{col 49}Pseudo R2{col 67}= {res}    0.2497

{txt}{ralign 83:(Std. Err. adjusted for {res:71} clusters in cowcode)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}        autocracy{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}z_lbgi1 {c |}{col 19}{res}{space 2} 1.072324{col 31}{space 2} .2282759{col 42}{space 1}    4.70{col 51}{space 3}0.000{col 59}{space 4} .6249113{col 72}{space 3} 1.519736
{txt}{space 12}lwgi1 {c |}{col 19}{res}{space 2}  2.27604{col 31}{space 2} .8952422{col 42}{space 1}    2.54{col 51}{space 3}0.011{col 59}{space 4} .5213976{col 72}{space 3} 4.030682
{txt}{space 17} {c |}
c.z_lbgi1#c.lwgi1 {c |}{col 19}{res}{space 2} -2.93126{col 31}{space 2} .6405867{col 42}{space 1}   -4.58{col 51}{space 3}0.000{col 59}{space 4}-4.186787{col 72}{space 3}-1.675733
{txt}{space 17} {c |}
{space 7}loilincome {c |}{col 19}{res}{space 2} -.397428{col 31}{space 2} .2892532{col 42}{space 1}   -1.37{col 51}{space 3}0.169{col 59}{space 4}-.9643537{col 72}{space 3} .1694978
{txt}{space 9}lethnici {c |}{col 19}{res}{space 2}-.0072846{col 31}{space 2}  .005729{col 42}{space 1}   -1.27{col 51}{space 3}0.204{col 59}{space 4}-.0185132{col 72}{space 3}  .003944
{txt}{space 8}lgdptreis {c |}{col 19}{res}{space 2}-.1003489{col 31}{space 2} .1746905{col 42}{space 1}   -0.57{col 51}{space 3}0.566{col 59}{space 4} -.442736{col 72}{space 3} .2420381
{txt}{space 2}lonegrowthtreis {c |}{col 19}{res}{space 2} .0195595{col 31}{space 2} .0201939{col 42}{space 1}    0.97{col 51}{space 3}0.333{col 59}{space 4}-.0200199{col 72}{space 3} .0591388
{txt}{space 9}lmoslemi {c |}{col 19}{res}{space 2} .0016904{col 31}{space 2} .0025136{col 42}{space 1}    0.67{col 51}{space 3}0.501{col 59}{space 4}-.0032363{col 72}{space 3} .0066171
{txt}{space 12}lwpch {c |}{col 19}{res}{space 2}-4.680237{col 31}{space 2} .7984247{col 42}{space 1}   -5.86{col 51}{space 3}0.000{col 59}{space 4} -6.24512{col 72}{space 3}-3.115353
{txt}{space 10}lagedem {c |}{col 19}{res}{space 2}-.0077397{col 31}{space 2} .0061708{col 42}{space 1}   -1.25{col 51}{space 3}0.210{col 59}{space 4}-.0198341{col 72}{space 3} .0043548
{txt}{space 10}sizedom {c |}{col 19}{res}{space 2}-1.760511{col 31}{space 2} .4305859{col 42}{space 1}   -4.09{col 51}{space 3}0.000{col 59}{space 4}-2.604444{col 72}{space 3}-.9165785
{txt}{space 10}western {c |}{col 19}{res}{space 2} -.770076{col 31}{space 2} .4897842{col 42}{space 1}   -1.57{col 51}{space 3}0.116{col 59}{space 4}-1.730035{col 72}{space 3} .1898833
{txt}{space 12}share {c |}{col 19}{res}{space 2}  -.08446{col 31}{space 2} .2288603{col 42}{space 1}   -0.37{col 51}{space 3}0.712{col 59}{space 4} -.533018{col 72}{space 3} .3640979
{txt}{space 12}_cons {c |}{col 19}{res}{space 2} 1.973524{col 31}{space 2} 1.651326{col 42}{space 1}    1.20{col 51}{space 3}0.232{col 59}{space 4}-1.263016{col 72}{space 3} 5.210063
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo m13
{txt}
{com}. 
. probit autocracy z_SEI lwgi1 c.z_SEI#c.lwgi1 loilincome lethnici lgdptreis lonegrowthtreis lmoslemi lwpch lagedem sizedom western share if ldemocracy==1, cluster(cowcode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-183.54683}  
Iteration 1:{space 3}log pseudolikelihood = {res:-148.51216}  
Iteration 2:{space 3}log pseudolikelihood = {res:-141.05797}  
Iteration 3:{space 3}log pseudolikelihood = {res:-140.48388}  
Iteration 4:{space 3}log pseudolikelihood = {res:-140.46395}  
Iteration 5:{space 3}log pseudolikelihood = {res: -140.4639}  
Iteration 6:{space 3}log pseudolikelihood = {res: -140.4639}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}     1,607
{txt}{col 49}Wald chi2({res}13{txt}){col 67}= {res}    113.96
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res} -140.4639{txt}{col 49}Pseudo R2{col 67}= {res}    0.2347

{txt}{ralign 81:(Std. Err. adjusted for {res:71} clusters in cowcode)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      autocracy{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}z_SEI {c |}{col 17}{res}{space 2} .7667478{col 29}{space 2} .3773193{col 40}{space 1}    2.03{col 49}{space 3}0.042{col 57}{space 4} .0272157{col 70}{space 3}  1.50628
{txt}{space 10}lwgi1 {c |}{col 17}{res}{space 2} 2.096238{col 29}{space 2} .8584696{col 40}{space 1}    2.44{col 49}{space 3}0.015{col 57}{space 4} .4136683{col 70}{space 3} 3.778807
{txt}{space 15} {c |}
c.z_SEI#c.lwgi1 {c |}{col 17}{res}{space 2}-1.618813{col 29}{space 2} .8841827{col 40}{space 1}   -1.83{col 49}{space 3}0.067{col 57}{space 4}-3.351779{col 70}{space 3} .1141531
{txt}{space 15} {c |}
{space 5}loilincome {c |}{col 17}{res}{space 2}-.1455843{col 29}{space 2} .2007158{col 40}{space 1}   -0.73{col 49}{space 3}0.468{col 57}{space 4}  -.53898{col 70}{space 3} .2478114
{txt}{space 7}lethnici {c |}{col 17}{res}{space 2} -.012513{col 29}{space 2} .0067642{col 40}{space 1}   -1.85{col 49}{space 3}0.064{col 57}{space 4}-.0257706{col 70}{space 3} .0007446
{txt}{space 6}lgdptreis {c |}{col 17}{res}{space 2}-.0543953{col 29}{space 2} .1786795{col 40}{space 1}   -0.30{col 49}{space 3}0.761{col 57}{space 4}-.4046006{col 70}{space 3} .2958101
{txt}lonegrowthtreis {c |}{col 17}{res}{space 2} .0221736{col 29}{space 2} .0210894{col 40}{space 1}    1.05{col 49}{space 3}0.293{col 57}{space 4}-.0191608{col 70}{space 3}  .063508
{txt}{space 7}lmoslemi {c |}{col 17}{res}{space 2} .0022428{col 29}{space 2} .0025569{col 40}{space 1}    0.88{col 49}{space 3}0.380{col 57}{space 4}-.0027686{col 70}{space 3} .0072543
{txt}{space 10}lwpch {c |}{col 17}{res}{space 2}-3.586456{col 29}{space 2} .8549088{col 40}{space 1}   -4.20{col 49}{space 3}0.000{col 57}{space 4}-5.262046{col 70}{space 3}-1.910865
{txt}{space 8}lagedem {c |}{col 17}{res}{space 2}-.0092777{col 29}{space 2} .0068385{col 40}{space 1}   -1.36{col 49}{space 3}0.175{col 57}{space 4}-.0226808{col 70}{space 3} .0041255
{txt}{space 8}sizedom {c |}{col 17}{res}{space 2}-1.545562{col 29}{space 2} .5018805{col 40}{space 1}   -3.08{col 49}{space 3}0.002{col 57}{space 4} -2.52923{col 70}{space 3}-.5618942
{txt}{space 8}western {c |}{col 17}{res}{space 2}-.3863856{col 29}{space 2} .5167912{col 40}{space 1}   -0.75{col 49}{space 3}0.455{col 57}{space 4}-1.399278{col 70}{space 3} .6265066
{txt}{space 10}share {c |}{col 17}{res}{space 2} .2003722{col 29}{space 2} .2410589{col 40}{space 1}    0.83{col 49}{space 3}0.406{col 57}{space 4}-.2720945{col 70}{space 3}  .672839
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} 1.042215{col 29}{space 2} 1.723797{col 40}{space 1}    0.60{col 49}{space 3}0.545{col 57}{space 4}-2.336366{col 70}{space 3} 4.420795
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo m14
{txt}
{com}. 
. probit autocracy z_ggini lwgi1 c.z_ggini#c.lwgi1 loilincome lethnici lgdptreis lonegrowthtreis lmoslemi lwpch lagedem sizedom western share if ldemocracy==1, cluster(cowcode)

{txt}note: western != 0 predicts failure perfectly
      western dropped and 47 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-110.90053}  
Iteration 1:{space 3}log pseudolikelihood = {res:-92.320152}  
Iteration 2:{space 3}log pseudolikelihood = {res:-90.272313}  
Iteration 3:{space 3}log pseudolikelihood = {res:-90.248308}  
Iteration 4:{space 3}log pseudolikelihood = {res:-90.248304}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}       694
{txt}{col 49}Wald chi2({res}12{txt}){col 67}= {res}     80.24
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-90.248304{txt}{col 49}Pseudo R2{col 67}= {res}    0.1862

{txt}{ralign 83:(Std. Err. adjusted for {res:42} clusters in cowcode)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}        autocracy{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}z_ggini {c |}{col 19}{res}{space 2} .8054389{col 31}{space 2} .4695069{col 42}{space 1}    1.72{col 51}{space 3}0.086{col 59}{space 4}-.1147777{col 72}{space 3} 1.725656
{txt}{space 12}lwgi1 {c |}{col 19}{res}{space 2} 1.710032{col 31}{space 2} 1.044778{col 42}{space 1}    1.64{col 51}{space 3}0.102{col 59}{space 4}-.3376953{col 72}{space 3}  3.75776
{txt}{space 17} {c |}
c.z_ggini#c.lwgi1 {c |}{col 19}{res}{space 2}-1.925417{col 31}{space 2} 1.116462{col 42}{space 1}   -1.72{col 51}{space 3}0.085{col 59}{space 4}-4.113643{col 72}{space 3} .2628091
{txt}{space 17} {c |}
{space 7}loilincome {c |}{col 19}{res}{space 2}-.2564266{col 31}{space 2} .2593835{col 42}{space 1}   -0.99{col 51}{space 3}0.323{col 59}{space 4}-.7648089{col 72}{space 3} .2519558
{txt}{space 9}lethnici {c |}{col 19}{res}{space 2}  -.01068{col 31}{space 2} .0072803{col 42}{space 1}   -1.47{col 51}{space 3}0.142{col 59}{space 4}-.0249491{col 72}{space 3} .0035892
{txt}{space 8}lgdptreis {c |}{col 19}{res}{space 2}-.0110084{col 31}{space 2} .2101437{col 42}{space 1}   -0.05{col 51}{space 3}0.958{col 59}{space 4}-.4228824{col 72}{space 3} .4008657
{txt}{space 2}lonegrowthtreis {c |}{col 19}{res}{space 2}-.0053828{col 31}{space 2} .0189576{col 42}{space 1}   -0.28{col 51}{space 3}0.776{col 59}{space 4} -.042539{col 72}{space 3} .0317734
{txt}{space 9}lmoslemi {c |}{col 19}{res}{space 2} .0009309{col 31}{space 2} .0028601{col 42}{space 1}    0.33{col 51}{space 3}0.745{col 59}{space 4}-.0046748{col 72}{space 3} .0065365
{txt}{space 12}lwpch {c |}{col 19}{res}{space 2}-3.205247{col 31}{space 2} 1.269586{col 42}{space 1}   -2.52{col 51}{space 3}0.012{col 59}{space 4}-5.693589{col 72}{space 3}-.7169053
{txt}{space 10}lagedem {c |}{col 19}{res}{space 2} .0242715{col 31}{space 2} .0122298{col 42}{space 1}    1.98{col 51}{space 3}0.047{col 59}{space 4} .0003016{col 72}{space 3} .0482414
{txt}{space 10}sizedom {c |}{col 19}{res}{space 2}-2.550207{col 31}{space 2} .6035056{col 42}{space 1}   -4.23{col 51}{space 3}0.000{col 59}{space 4}-3.733056{col 72}{space 3}-1.367357
{txt}{space 10}western {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 12}share {c |}{col 19}{res}{space 2} .4616675{col 31}{space 2} .3784002{col 42}{space 1}    1.22{col 51}{space 3}0.222{col 59}{space 4}-.2799833{col 72}{space 3} 1.203318
{txt}{space 12}_cons {c |}{col 19}{res}{space 2} .8964237{col 31}{space 2} 2.060918{col 42}{space 1}    0.43{col 51}{space 3}0.664{col 59}{space 4}-3.142901{col 72}{space 3} 4.935749
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo m15
{txt}
{com}. 
.         esttab using output_2.rtf, b(3) se(3) se star(* 0.05  ** 0.01 *** 0.001) stats(N r2, fmt(0 3))
{res}{txt}(output written to {browse  `"output_2.rtf"'})

{com}. 
.         eststo clear
{txt}
{com}. 
. 
. *** Check for sample influence: Table A13 ***
. 
. probit autocracy z_ethg_ip lwgi1 c.z_ethg_ip#c.lwgi1 loilincome lethnici lgdptreis lonegrowthtreis lmoslemi lwpch lagedem sizedom western share if ldemocracy==1 & baseline1==1, cluster(cowcode)

{txt}note: western != 0 predicts failure perfectly
      western dropped and 16 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-39.175138}  
Iteration 1:{space 3}log pseudolikelihood = {res:-30.368322}  
Iteration 2:{space 3}log pseudolikelihood = {res:-28.160959}  
Iteration 3:{space 3}log pseudolikelihood = {res: -27.98605}  
Iteration 4:{space 3}log pseudolikelihood = {res: -27.98426}  
Iteration 5:{space 3}log pseudolikelihood = {res:-27.984259}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}       398
{txt}{col 49}Wald chi2({res}12{txt}){col 67}= {res}    162.00
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-27.984259{txt}{col 49}Pseudo R2{col 67}= {res}    0.2857

{txt}{ralign 85:(Std. Err. adjusted for {res:38} clusters in cowcode)}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}          autocracy{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}z_ethg_ip {c |}{col 21}{res}{space 2}  1.11172{col 33}{space 2} .6040891{col 44}{space 1}    1.84{col 53}{space 3}0.066{col 61}{space 4}-.0722734{col 74}{space 3} 2.295712
{txt}{space 14}lwgi1 {c |}{col 21}{res}{space 2} 3.273055{col 33}{space 2} 2.349832{col 44}{space 1}    1.39{col 53}{space 3}0.164{col 61}{space 4}-1.332531{col 74}{space 3} 7.878642
{txt}{space 19} {c |}
c.z_ethg_ip#c.lwgi1 {c |}{col 21}{res}{space 2}-1.720572{col 33}{space 2}   1.3172{col 44}{space 1}   -1.31{col 53}{space 3}0.191{col 61}{space 4}-4.302236{col 74}{space 3} .8610922
{txt}{space 19} {c |}
{space 9}loilincome {c |}{col 21}{res}{space 2}  1.77457{col 33}{space 2} .9130335{col 44}{space 1}    1.94{col 53}{space 3}0.052{col 61}{space 4}-.0149433{col 74}{space 3} 3.564082
{txt}{space 11}lethnici {c |}{col 21}{res}{space 2}-.0296232{col 33}{space 2} .0194905{col 44}{space 1}   -1.52{col 53}{space 3}0.129{col 61}{space 4}-.0678239{col 74}{space 3} .0085775
{txt}{space 10}lgdptreis {c |}{col 21}{res}{space 2}-.2608582{col 33}{space 2} .6175322{col 44}{space 1}   -0.42{col 53}{space 3}0.673{col 61}{space 4}-1.471199{col 74}{space 3} .9494827
{txt}{space 4}lonegrowthtreis {c |}{col 21}{res}{space 2}-.0645384{col 33}{space 2} .0245995{col 44}{space 1}   -2.62{col 53}{space 3}0.009{col 61}{space 4}-.1127526{col 74}{space 3}-.0163242
{txt}{space 11}lmoslemi {c |}{col 21}{res}{space 2} .0096529{col 33}{space 2} .0065798{col 44}{space 1}    1.47{col 53}{space 3}0.142{col 61}{space 4}-.0032432{col 74}{space 3} .0225491
{txt}{space 14}lwpch {c |}{col 21}{res}{space 2} 6.762271{col 33}{space 2} 6.236579{col 44}{space 1}    1.08{col 53}{space 3}0.278{col 61}{space 4}  -5.4612{col 74}{space 3} 18.98574
{txt}{space 12}lagedem {c |}{col 21}{res}{space 2} .0417362{col 33}{space 2} .0201079{col 44}{space 1}    2.08{col 53}{space 3}0.038{col 61}{space 4} .0023255{col 74}{space 3} .0811469
{txt}{space 12}sizedom {c |}{col 21}{res}{space 2}-3.805399{col 33}{space 2} 1.393858{col 44}{space 1}   -2.73{col 53}{space 3}0.006{col 61}{space 4} -6.53731{col 74}{space 3}-1.073487
{txt}{space 12}western {c |}{col 21}{res}{space 2}        0{col 33}{txt}  (omitted)
{space 14}share {c |}{col 21}{res}{space 2} .6288163{col 33}{space 2} .5832708{col 44}{space 1}    1.08{col 53}{space 3}0.281{col 61}{space 4}-.5143734{col 74}{space 3} 1.772006
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} -2.92382{col 33}{space 2} 6.034472{col 44}{space 1}   -0.48{col 53}{space 3}0.628{col 61}{space 4}-14.75117{col 74}{space 3} 8.903527
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo m11
{txt}
{com}. 
. probit autocracy z_low_ratio lwgi1 c.z_low_ratio#c.lwgi1 loilincome lethnici lgdptreis lonegrowthtreis lmoslemi lwpch lagedem sizedom western share if ldemocracy==1 & baseline1==1, cluster(cowcode)

{txt}note: western != 0 predicts failure perfectly
      western dropped and 16 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-39.175138}  
Iteration 1:{space 3}log pseudolikelihood = {res:-30.139246}  
Iteration 2:{space 3}log pseudolikelihood = {res:-28.714113}  
Iteration 3:{space 3}log pseudolikelihood = {res:-28.657824}  
Iteration 4:{space 3}log pseudolikelihood = {res:-28.657461}  
Iteration 5:{space 3}log pseudolikelihood = {res:-28.657461}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}       398
{txt}{col 49}Wald chi2({res}12{txt}){col 67}= {res}    170.13
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-28.657461{txt}{col 49}Pseudo R2{col 67}= {res}    0.2685

{txt}{ralign 87:(Std. Err. adjusted for {res:38} clusters in cowcode)}
{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}            autocracy{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}z_low_ratio {c |}{col 23}{res}{space 2}-.4616815{col 35}{space 2} 1.094314{col 46}{space 1}   -0.42{col 55}{space 3}0.673{col 63}{space 4}-2.606497{col 76}{space 3} 1.683134
{txt}{space 16}lwgi1 {c |}{col 23}{res}{space 2} 4.556575{col 35}{space 2} 1.649984{col 46}{space 1}    2.76{col 55}{space 3}0.006{col 63}{space 4} 1.322666{col 76}{space 3} 7.790484
{txt}{space 21} {c |}
c.z_low_ratio#c.lwgi1 {c |}{col 23}{res}{space 2}  2.44454{col 35}{space 2} 2.872195{col 46}{space 1}    0.85{col 55}{space 3}0.395{col 63}{space 4}-3.184859{col 76}{space 3} 8.073938
{txt}{space 21} {c |}
{space 11}loilincome {c |}{col 23}{res}{space 2} .8791705{col 35}{space 2} .7680139{col 46}{space 1}    1.14{col 55}{space 3}0.252{col 63}{space 4}-.6261091{col 76}{space 3}  2.38445
{txt}{space 13}lethnici {c |}{col 23}{res}{space 2}-.0242947{col 35}{space 2} .0138301{col 46}{space 1}   -1.76{col 55}{space 3}0.079{col 63}{space 4}-.0514012{col 76}{space 3} .0028118
{txt}{space 12}lgdptreis {c |}{col 23}{res}{space 2} .1434075{col 35}{space 2} .2957904{col 46}{space 1}    0.48{col 55}{space 3}0.628{col 63}{space 4}-.4363311{col 76}{space 3} .7231461
{txt}{space 6}lonegrowthtreis {c |}{col 23}{res}{space 2}-.0486206{col 35}{space 2} .0165586{col 46}{space 1}   -2.94{col 55}{space 3}0.003{col 63}{space 4} -.081075{col 76}{space 3}-.0161663
{txt}{space 13}lmoslemi {c |}{col 23}{res}{space 2}  .008655{col 35}{space 2} .0070606{col 46}{space 1}    1.23{col 55}{space 3}0.220{col 63}{space 4}-.0051835{col 76}{space 3} .0224935
{txt}{space 16}lwpch {c |}{col 23}{res}{space 2} 5.760347{col 35}{space 2} 6.507322{col 46}{space 1}    0.89{col 55}{space 3}0.376{col 63}{space 4} -6.99377{col 76}{space 3} 18.51446
{txt}{space 14}lagedem {c |}{col 23}{res}{space 2} .0343484{col 35}{space 2} .0151831{col 46}{space 1}    2.26{col 55}{space 3}0.024{col 63}{space 4}   .00459{col 76}{space 3} .0641068
{txt}{space 14}sizedom {c |}{col 23}{res}{space 2}-3.356967{col 35}{space 2}   1.1846{col 46}{space 1}   -2.83{col 55}{space 3}0.005{col 63}{space 4} -5.67874{col 76}{space 3}-1.035193
{txt}{space 14}western {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
{space 16}share {c |}{col 23}{res}{space 2} .5887274{col 35}{space 2} .6056805{col 46}{space 1}    0.97{col 55}{space 3}0.331{col 63}{space 4}-.5983845{col 76}{space 3} 1.775839
{txt}{space 16}_cons {c |}{col 23}{res}{space 2}-5.793282{col 35}{space 2} 4.732249{col 46}{space 1}   -1.22{col 55}{space 3}0.221{col 63}{space 4}-15.06832{col 76}{space 3} 3.481756
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo m12
{txt}
{com}. 
. probit autocracy z_lbgi1 lwgi1 c.z_lbgi1#c.lwgi1 loilincome lethnici lgdptreis lonegrowthtreis lmoslemi lwpch lagedem sizedom western share if ldemocracy==1 & baseline1==1, cluster(cowcode)

{txt}note: western != 0 predicts failure perfectly
      western dropped and 16 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-39.175138}  
Iteration 1:{space 3}log pseudolikelihood = {res:-30.525091}  
Iteration 2:{space 3}log pseudolikelihood = {res:-28.944946}  
Iteration 3:{space 3}log pseudolikelihood = {res:-28.835574}  
Iteration 4:{space 3}log pseudolikelihood = {res:-28.835314}  
Iteration 5:{space 3}log pseudolikelihood = {res:-28.835314}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}       398
{txt}{col 49}Wald chi2({res}12{txt}){col 67}= {res}    175.97
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-28.835314{txt}{col 49}Pseudo R2{col 67}= {res}    0.2639

{txt}{ralign 83:(Std. Err. adjusted for {res:38} clusters in cowcode)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}        autocracy{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}z_lbgi1 {c |}{col 19}{res}{space 2} .8858375{col 31}{space 2} .5394131{col 42}{space 1}    1.64{col 51}{space 3}0.101{col 59}{space 4}-.1713928{col 72}{space 3} 1.943068
{txt}{space 12}lwgi1 {c |}{col 19}{res}{space 2} 2.713228{col 31}{space 2} 1.787496{col 42}{space 1}    1.52{col 51}{space 3}0.129{col 59}{space 4}-.7902007{col 72}{space 3} 6.216656
{txt}{space 17} {c |}
c.z_lbgi1#c.lwgi1 {c |}{col 19}{res}{space 2}-1.905504{col 31}{space 2} 1.253227{col 42}{space 1}   -1.52{col 51}{space 3}0.128{col 59}{space 4}-4.361785{col 72}{space 3} .5507761
{txt}{space 17} {c |}
{space 7}loilincome {c |}{col 19}{res}{space 2} 1.001908{col 31}{space 2} .6996436{col 42}{space 1}    1.43{col 51}{space 3}0.152{col 59}{space 4}-.3693681{col 72}{space 3} 2.373185
{txt}{space 9}lethnici {c |}{col 19}{res}{space 2}-.0182366{col 31}{space 2}  .012061{col 42}{space 1}   -1.51{col 51}{space 3}0.131{col 59}{space 4}-.0418757{col 72}{space 3} .0054025
{txt}{space 8}lgdptreis {c |}{col 19}{res}{space 2}-.1098693{col 31}{space 2} .3807391{col 42}{space 1}   -0.29{col 51}{space 3}0.773{col 59}{space 4}-.8561042{col 72}{space 3} .6363657
{txt}{space 2}lonegrowthtreis {c |}{col 19}{res}{space 2}-.0576501{col 31}{space 2} .0198841{col 42}{space 1}   -2.90{col 51}{space 3}0.004{col 59}{space 4}-.0966223{col 72}{space 3}-.0186779
{txt}{space 9}lmoslemi {c |}{col 19}{res}{space 2} .0094608{col 31}{space 2} .0072638{col 42}{space 1}    1.30{col 51}{space 3}0.193{col 59}{space 4}-.0047761{col 72}{space 3} .0236977
{txt}{space 12}lwpch {c |}{col 19}{res}{space 2} 2.915095{col 31}{space 2} 6.616555{col 42}{space 1}    0.44{col 51}{space 3}0.660{col 59}{space 4}-10.05311{col 72}{space 3}  15.8833
{txt}{space 10}lagedem {c |}{col 19}{res}{space 2} .0456795{col 31}{space 2} .0210342{col 42}{space 1}    2.17{col 51}{space 3}0.030{col 59}{space 4} .0044532{col 72}{space 3} .0869059
{txt}{space 10}sizedom {c |}{col 19}{res}{space 2}-3.332394{col 31}{space 2} 1.130452{col 42}{space 1}   -2.95{col 51}{space 3}0.003{col 59}{space 4} -5.54804{col 72}{space 3}-1.116748
{txt}{space 10}western {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 12}share {c |}{col 19}{res}{space 2} .6512287{col 31}{space 2} .6103286{col 42}{space 1}    1.07{col 51}{space 3}0.286{col 59}{space 4}-.5449933{col 72}{space 3} 1.847451
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-2.080852{col 31}{space 2} 5.020594{col 42}{space 1}   -0.41{col 51}{space 3}0.679{col 59}{space 4}-11.92104{col 72}{space 3} 7.759332
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo m13
{txt}
{com}. 
. probit autocracy z_SEI lwgi1 c.z_SEI#c.lwgi1 loilincome lethnici lgdptreis lonegrowthtreis lmoslemi lwpch lagedem sizedom western share if ldemocracy==1 & baseline1==1, cluster(cowcode)

{txt}note: western != 0 predicts failure perfectly
      western dropped and 16 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-39.175138}  
Iteration 1:{space 3}log pseudolikelihood = {res:-30.278699}  
Iteration 2:{space 3}log pseudolikelihood = {res:-27.911435}  
Iteration 3:{space 3}log pseudolikelihood = {res:-27.728053}  
Iteration 4:{space 3}log pseudolikelihood = {res:-27.724925}  
Iteration 5:{space 3}log pseudolikelihood = {res:-27.724921}  
Iteration 6:{space 3}log pseudolikelihood = {res:-27.724921}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}       398
{txt}{col 49}Wald chi2({res}12{txt}){col 67}= {res}     96.96
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-27.724921{txt}{col 49}Pseudo R2{col 67}= {res}    0.2923

{txt}{ralign 81:(Std. Err. adjusted for {res:38} clusters in cowcode)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      autocracy{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}z_SEI {c |}{col 17}{res}{space 2} 1.512465{col 29}{space 2} .8819794{col 40}{space 1}    1.71{col 49}{space 3}0.086{col 57}{space 4}-.2161831{col 70}{space 3} 3.241112
{txt}{space 10}lwgi1 {c |}{col 17}{res}{space 2} 1.535567{col 29}{space 2} 2.348679{col 40}{space 1}    0.65{col 49}{space 3}0.513{col 57}{space 4} -3.06776{col 70}{space 3} 6.138893
{txt}{space 15} {c |}
c.z_SEI#c.lwgi1 {c |}{col 17}{res}{space 2}-2.076676{col 29}{space 2} 1.516437{col 40}{space 1}   -1.37{col 49}{space 3}0.171{col 57}{space 4}-5.048837{col 70}{space 3} .8954852
{txt}{space 15} {c |}
{space 5}loilincome {c |}{col 17}{res}{space 2} 1.716572{col 29}{space 2} .9573686{col 40}{space 1}    1.79{col 49}{space 3}0.073{col 57}{space 4}-.1598363{col 70}{space 3}  3.59298
{txt}{space 7}lethnici {c |}{col 17}{res}{space 2}-.0207879{col 29}{space 2} .0123573{col 40}{space 1}   -1.68{col 49}{space 3}0.093{col 57}{space 4}-.0450077{col 70}{space 3} .0034319
{txt}{space 6}lgdptreis {c |}{col 17}{res}{space 2}-.2477669{col 29}{space 2} .6085765{col 40}{space 1}   -0.41{col 49}{space 3}0.684{col 57}{space 4}-1.440555{col 70}{space 3} .9450211
{txt}lonegrowthtreis {c |}{col 17}{res}{space 2}-.0708238{col 29}{space 2} .0180445{col 40}{space 1}   -3.92{col 49}{space 3}0.000{col 57}{space 4}-.1061903{col 70}{space 3}-.0354573
{txt}{space 7}lmoslemi {c |}{col 17}{res}{space 2} .0123048{col 29}{space 2}  .007892{col 40}{space 1}    1.56{col 49}{space 3}0.119{col 57}{space 4}-.0031633{col 70}{space 3} .0277728
{txt}{space 10}lwpch {c |}{col 17}{res}{space 2} 5.636015{col 29}{space 2} 5.686305{col 40}{space 1}    0.99{col 49}{space 3}0.322{col 57}{space 4}-5.508939{col 70}{space 3} 16.78097
{txt}{space 8}lagedem {c |}{col 17}{res}{space 2} .0511767{col 29}{space 2}  .022359{col 40}{space 1}    2.29{col 49}{space 3}0.022{col 57}{space 4} .0073538{col 70}{space 3} .0949996
{txt}{space 8}sizedom {c |}{col 17}{res}{space 2}-4.108363{col 29}{space 2} 1.462302{col 40}{space 1}   -2.81{col 49}{space 3}0.005{col 57}{space 4}-6.974423{col 70}{space 3}-1.242303
{txt}{space 8}western {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 10}share {c |}{col 17}{res}{space 2} .7509255{col 29}{space 2} .6473278{col 40}{space 1}    1.16{col 49}{space 3}0.246{col 57}{space 4}-.5178136{col 70}{space 3} 2.019665
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-1.738522{col 29}{space 2} 6.378706{col 40}{space 1}   -0.27{col 49}{space 3}0.785{col 57}{space 4}-14.24056{col 70}{space 3} 10.76351
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo m14
{txt}
{com}. 
. probit autocracy z_ggini lwgi1 c.z_ggini#c.lwgi1 loilincome lethnici lgdptreis lonegrowthtreis lmoslemi lwpch lagedem sizedom western share if ldemocracy==1 & baseline1==1, cluster(cowcode)

{txt}note: western != 0 predicts failure perfectly
      western dropped and 16 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-39.175138}  
Iteration 1:{space 3}log pseudolikelihood = {res:-29.833543}  
Iteration 2:{space 3}log pseudolikelihood = {res:-27.536766}  
Iteration 3:{space 3}log pseudolikelihood = {res:-27.351779}  
Iteration 4:{space 3}log pseudolikelihood = {res:-27.347182}  
Iteration 5:{space 3}log pseudolikelihood = {res:-27.347179}  
Iteration 6:{space 3}log pseudolikelihood = {res:-27.347179}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}       398
{txt}{col 49}Wald chi2({res}12{txt}){col 67}= {res}    259.13
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-27.347179{txt}{col 49}Pseudo R2{col 67}= {res}    0.3019

{txt}{ralign 83:(Std. Err. adjusted for {res:38} clusters in cowcode)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}        autocracy{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}z_ggini {c |}{col 19}{res}{space 2} 1.761033{col 31}{space 2} .8109002{col 42}{space 1}    2.17{col 51}{space 3}0.030{col 59}{space 4}  .171698{col 72}{space 3} 3.350369
{txt}{space 12}lwgi1 {c |}{col 19}{res}{space 2} 5.361319{col 31}{space 2} 2.132476{col 42}{space 1}    2.51{col 51}{space 3}0.012{col 59}{space 4} 1.181743{col 72}{space 3} 9.540896
{txt}{space 17} {c |}
c.z_ggini#c.lwgi1 {c |}{col 19}{res}{space 2}-2.965787{col 31}{space 2} 1.515303{col 42}{space 1}   -1.96{col 51}{space 3}0.050{col 59}{space 4}-5.935727{col 72}{space 3} .0041534
{txt}{space 17} {c |}
{space 7}loilincome {c |}{col 19}{res}{space 2} 1.497921{col 31}{space 2}  .717997{col 42}{space 1}    2.09{col 51}{space 3}0.037{col 59}{space 4} .0906725{col 72}{space 3} 2.905169
{txt}{space 9}lethnici {c |}{col 19}{res}{space 2}-.0233322{col 31}{space 2} .0125614{col 42}{space 1}   -1.86{col 51}{space 3}0.063{col 59}{space 4} -.047952{col 72}{space 3} .0012877
{txt}{space 8}lgdptreis {c |}{col 19}{res}{space 2} .1942145{col 31}{space 2} .5198828{col 42}{space 1}    0.37{col 51}{space 3}0.709{col 59}{space 4}-.8247372{col 72}{space 3} 1.213166
{txt}{space 2}lonegrowthtreis {c |}{col 19}{res}{space 2}-.0865736{col 31}{space 2} .0273418{col 42}{space 1}   -3.17{col 51}{space 3}0.002{col 59}{space 4}-.1401626{col 72}{space 3}-.0329846
{txt}{space 9}lmoslemi {c |}{col 19}{res}{space 2} .0052977{col 31}{space 2}  .008728{col 42}{space 1}    0.61{col 51}{space 3}0.544{col 59}{space 4} -.011809{col 72}{space 3} .0224044
{txt}{space 12}lwpch {c |}{col 19}{res}{space 2} 7.231511{col 31}{space 2} 7.071519{col 42}{space 1}    1.02{col 51}{space 3}0.306{col 59}{space 4}-6.628412{col 72}{space 3} 21.09143
{txt}{space 10}lagedem {c |}{col 19}{res}{space 2} .0542218{col 31}{space 2} .0216193{col 42}{space 1}    2.51{col 51}{space 3}0.012{col 59}{space 4} .0118487{col 72}{space 3} .0965948
{txt}{space 10}sizedom {c |}{col 19}{res}{space 2}-3.523036{col 31}{space 2} 1.202903{col 42}{space 1}   -2.93{col 51}{space 3}0.003{col 59}{space 4}-5.880682{col 72}{space 3}-1.165389
{txt}{space 10}western {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 12}share {c |}{col 19}{res}{space 2} .1622763{col 31}{space 2} .6865926{col 42}{space 1}    0.24{col 51}{space 3}0.813{col 59}{space 4}-1.183421{col 72}{space 3} 1.507973
{txt}{space 12}_cons {c |}{col 19}{res}{space 2} -7.29365{col 31}{space 2} 5.757643{col 42}{space 1}   -1.27{col 51}{space 3}0.205{col 59}{space 4}-18.57842{col 72}{space 3} 3.991123
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 1 failure and 0 successes completely determined.{p_end}

{com}. eststo m15
{txt}
{com}. 
.         esttab using output_2b.rtf, b(3) se(3) se star(* 0.05  ** 0.01 *** 0.001) stats(N r2, fmt(0 3))
{res}{txt}(output written to {browse  `"output_2b.rtf"'})

{com}. 
.         eststo clear
{txt}
{com}.   
. ************************************************************************
. ************** Table A14-A15: Replication Cederman et al. (2013) *************
. ************************************************************************
. 
. *** Table A14 ***
. 
. global CONTROLS1 ethfrac lpop lgdppcl 
{txt}
{com}. global TIME1 lonshist pyr_NSA NSA_spl*
{txt}
{com}. 
. logit NSAonset z_ethg_ip sip2l mgini_intx max_rexcll  $CONTROLS1 $TIME1 if year>1990, cl(country_id) nolog
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     2,296
{txt}{col 49}Wald chi2({res}12{txt}){col 67}= {res}     68.76
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-253.06438{txt}{col 49}Pseudo R2{col 67}= {res}    0.1340

{txt}{ralign 78:(Std. Err. adjusted for {res:134} clusters in country_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    NSAonset{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}z_ethg_ip {c |}{col 14}{res}{space 2} .0738907{col 26}{space 2} .2545907{col 37}{space 1}    0.29{col 46}{space 3}0.772{col 54}{space 4}-.4250979{col 67}{space 3} .5728794
{txt}{space 7}sip2l {c |}{col 14}{res}{space 2} .2236663{col 26}{space 2} .5646688{col 37}{space 1}    0.40{col 46}{space 3}0.692{col 54}{space 4}-.8830641{col 67}{space 3} 1.330397
{txt}{space 2}mgini_intx {c |}{col 14}{res}{space 2} -.011867{col 26}{space 2} .0179981{col 37}{space 1}   -0.66{col 46}{space 3}0.510{col 54}{space 4}-.0471426{col 67}{space 3} .0234086
{txt}{space 2}max_rexcll {c |}{col 14}{res}{space 2}-.6277373{col 26}{space 2} .9806929{col 37}{space 1}   -0.64{col 46}{space 3}0.522{col 54}{space 4} -2.54986{col 67}{space 3} 1.294386
{txt}{space 5}ethfrac {c |}{col 14}{res}{space 2} 1.158796{col 26}{space 2}  .650704{col 37}{space 1}    1.78{col 46}{space 3}0.075{col 54}{space 4}-.1165603{col 67}{space 3} 2.434152
{txt}{space 8}lpop {c |}{col 14}{res}{space 2} .2700064{col 26}{space 2} .1103515{col 37}{space 1}    2.45{col 46}{space 3}0.014{col 54}{space 4} .0537215{col 67}{space 3} .4862913
{txt}{space 5}lgdppcl {c |}{col 14}{res}{space 2} -.201563{col 26}{space 2}  .191799{col 37}{space 1}   -1.05{col 46}{space 3}0.293{col 54}{space 4}-.5774822{col 67}{space 3} .1743562
{txt}{space 4}lonshist {c |}{col 14}{res}{space 2} .2657503{col 26}{space 2} .2735858{col 37}{space 1}    0.97{col 46}{space 3}0.331{col 54}{space 4} -.270468{col 67}{space 3} .8019685
{txt}{space 5}pyr_NSA {c |}{col 14}{res}{space 2} .4361544{col 26}{space 2} .1314344{col 37}{space 1}    3.32{col 46}{space 3}0.001{col 54}{space 4} .1785476{col 67}{space 3} .6937611
{txt}{space 4}NSA_spl1 {c |}{col 14}{res}{space 2} .0174979{col 26}{space 2} .0046281{col 37}{space 1}    3.78{col 46}{space 3}0.000{col 54}{space 4} .0084269{col 67}{space 3} .0265688
{txt}{space 4}NSA_spl2 {c |}{col 14}{res}{space 2}-.0046349{col 26}{space 2} .0012604{col 37}{space 1}   -3.68{col 46}{space 3}0.000{col 54}{space 4}-.0071052{col 67}{space 3}-.0021645
{txt}{space 4}NSA_spl3 {c |}{col 14}{res}{space 2} .0007321{col 26}{space 2} .0002409{col 37}{space 1}    3.04{col 46}{space 3}0.002{col 54}{space 4} .0002599{col 67}{space 3} .0012043
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-4.868439{col 26}{space 2} 1.651431{col 37}{space 1}   -2.95{col 46}{space 3}0.003{col 54}{space 4}-8.105185{col 67}{space 3}-1.631692
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo m21
{txt}
{com}. 
. logit NSAonset z_low_ratio sip2l mgini_intx max_rexcll $CONTROLS1 $TIME1 if year>1990, cl(country_id) nolog
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     2,467
{txt}{col 49}Wald chi2({res}12{txt}){col 67}= {res}    147.14
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-309.62879{txt}{col 49}Pseudo R2{col 67}= {res}    0.1228

{txt}{ralign 78:(Std. Err. adjusted for {res:138} clusters in country_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    NSAonset{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}z_low_ratio {c |}{col 14}{res}{space 2} .1659425{col 26}{space 2}   .05532{col 37}{space 1}    3.00{col 46}{space 3}0.003{col 54}{space 4} .0575173{col 67}{space 3} .2743678
{txt}{space 7}sip2l {c |}{col 14}{res}{space 2}-.2302326{col 26}{space 2}  .548746{col 37}{space 1}   -0.42{col 46}{space 3}0.675{col 54}{space 4}-1.305755{col 67}{space 3} .8452898
{txt}{space 2}mgini_intx {c |}{col 14}{res}{space 2}-.0210765{col 26}{space 2} .0149944{col 37}{space 1}   -1.41{col 46}{space 3}0.160{col 54}{space 4} -.050465{col 67}{space 3} .0083119
{txt}{space 2}max_rexcll {c |}{col 14}{res}{space 2}-.1114842{col 26}{space 2} .7258143{col 37}{space 1}   -0.15{col 46}{space 3}0.878{col 54}{space 4}-1.534054{col 67}{space 3} 1.311086
{txt}{space 5}ethfrac {c |}{col 14}{res}{space 2} .7874986{col 26}{space 2} .5594424{col 37}{space 1}    1.41{col 46}{space 3}0.159{col 54}{space 4}-.3089882{col 67}{space 3} 1.883986
{txt}{space 8}lpop {c |}{col 14}{res}{space 2} .1364742{col 26}{space 2} .1218403{col 37}{space 1}    1.12{col 46}{space 3}0.263{col 54}{space 4}-.1023284{col 67}{space 3} .3752769
{txt}{space 5}lgdppcl {c |}{col 14}{res}{space 2}-.2581033{col 26}{space 2} .1726627{col 37}{space 1}   -1.49{col 46}{space 3}0.135{col 54}{space 4} -.596516{col 67}{space 3} .0803094
{txt}{space 4}lonshist {c |}{col 14}{res}{space 2} .4713731{col 26}{space 2} .3378846{col 37}{space 1}    1.40{col 46}{space 3}0.163{col 54}{space 4}-.1908685{col 67}{space 3} 1.133615
{txt}{space 5}pyr_NSA {c |}{col 14}{res}{space 2}    .3531{col 26}{space 2} .1269487{col 37}{space 1}    2.78{col 46}{space 3}0.005{col 54}{space 4} .1042851{col 67}{space 3} .6019149
{txt}{space 4}NSA_spl1 {c |}{col 14}{res}{space 2} .0139745{col 26}{space 2} .0043327{col 37}{space 1}    3.23{col 46}{space 3}0.001{col 54}{space 4} .0054827{col 67}{space 3} .0224664
{txt}{space 4}NSA_spl2 {c |}{col 14}{res}{space 2}-.0037877{col 26}{space 2} .0011561{col 37}{space 1}   -3.28{col 46}{space 3}0.001{col 54}{space 4}-.0060535{col 67}{space 3}-.0015218
{txt}{space 4}NSA_spl3 {c |}{col 14}{res}{space 2} .0006528{col 26}{space 2} .0002151{col 37}{space 1}    3.03{col 46}{space 3}0.002{col 54}{space 4} .0002312{col 67}{space 3} .0010745
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-2.478715{col 26}{space 2} 1.972732{col 37}{space 1}   -1.26{col 46}{space 3}0.209{col 54}{space 4}-6.345199{col 67}{space 3} 1.387769
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo m22
{txt}
{com}. 
. logit NSAonset z_lbgi1  sip2l mgini_intx max_rexcll $CONTROLS1 $TIME1 if year>1990, cl(country_id) nolog
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       913
{txt}{col 49}Wald chi2({res}12{txt}){col 67}= {res}     67.33
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-91.094508{txt}{col 49}Pseudo R2{col 67}= {res}    0.2051

{txt}{ralign 78:(Std. Err. adjusted for {res:68} clusters in country_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    NSAonset{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}z_lbgi1 {c |}{col 14}{res}{space 2} .5200724{col 26}{space 2} .3004265{col 37}{space 1}    1.73{col 46}{space 3}0.083{col 54}{space 4}-.0687528{col 67}{space 3} 1.108898
{txt}{space 7}sip2l {c |}{col 14}{res}{space 2} 1.334936{col 26}{space 2} 2.609318{col 37}{space 1}    0.51{col 46}{space 3}0.609{col 54}{space 4}-3.779232{col 67}{space 3} 6.449105
{txt}{space 2}mgini_intx {c |}{col 14}{res}{space 2}-.0003354{col 26}{space 2} .0253541{col 37}{space 1}   -0.01{col 46}{space 3}0.989{col 54}{space 4}-.0500285{col 67}{space 3} .0493576
{txt}{space 2}max_rexcll {c |}{col 14}{res}{space 2}-1.967312{col 26}{space 2} 1.316933{col 37}{space 1}   -1.49{col 46}{space 3}0.135{col 54}{space 4}-4.548452{col 67}{space 3} .6138288
{txt}{space 5}ethfrac {c |}{col 14}{res}{space 2} 3.868954{col 26}{space 2} 1.391182{col 37}{space 1}    2.78{col 46}{space 3}0.005{col 54}{space 4} 1.142288{col 67}{space 3} 6.595621
{txt}{space 8}lpop {c |}{col 14}{res}{space 2} .4062795{col 26}{space 2} .2077909{col 37}{space 1}    1.96{col 46}{space 3}0.051{col 54}{space 4}-.0009832{col 67}{space 3} .8135421
{txt}{space 5}lgdppcl {c |}{col 14}{res}{space 2}-.1732096{col 26}{space 2} .3393836{col 37}{space 1}   -0.51{col 46}{space 3}0.610{col 54}{space 4}-.8383893{col 67}{space 3} .4919701
{txt}{space 4}lonshist {c |}{col 14}{res}{space 2}-.8579421{col 26}{space 2} .5658787{col 37}{space 1}   -1.52{col 46}{space 3}0.129{col 54}{space 4}-1.967044{col 67}{space 3} .2511598
{txt}{space 5}pyr_NSA {c |}{col 14}{res}{space 2} .3224831{col 26}{space 2} .2706566{col 37}{space 1}    1.19{col 46}{space 3}0.233{col 54}{space 4} -.207994{col 67}{space 3} .8529603
{txt}{space 4}NSA_spl1 {c |}{col 14}{res}{space 2} .0130247{col 26}{space 2} .0077815{col 37}{space 1}    1.67{col 46}{space 3}0.094{col 54}{space 4}-.0022269{col 67}{space 3} .0282762
{txt}{space 4}NSA_spl2 {c |}{col 14}{res}{space 2}-.0036339{col 26}{space 2} .0020205{col 37}{space 1}   -1.80{col 46}{space 3}0.072{col 54}{space 4} -.007594{col 67}{space 3} .0003262
{txt}{space 4}NSA_spl3 {c |}{col 14}{res}{space 2} .0007158{col 26}{space 2} .0003988{col 37}{space 1}    1.79{col 46}{space 3}0.073{col 54}{space 4} -.000066{col 67}{space 3} .0014975
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -8.03372{col 26}{space 2} 2.996219{col 37}{space 1}   -2.68{col 46}{space 3}0.007{col 54}{space 4} -13.9062{col 67}{space 3} -2.16124
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo m23
{txt}
{com}. 
. logit NSAonset z_SEI sip2l mgini_intx max_rexcll $CONTROLS1 $TIME1 if year>1990, cl(country_id) nolog
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     2,467
{txt}{col 49}Wald chi2({res}12{txt}){col 67}= {res}     67.85
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-312.25401{txt}{col 49}Pseudo R2{col 67}= {res}    0.1154

{txt}{ralign 78:(Std. Err. adjusted for {res:138} clusters in country_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    NSAonset{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}z_SEI {c |}{col 14}{res}{space 2} .0856098{col 26}{space 2} .3011852{col 37}{space 1}    0.28{col 46}{space 3}0.776{col 54}{space 4}-.5047024{col 67}{space 3} .6759221
{txt}{space 7}sip2l {c |}{col 14}{res}{space 2}-.2521809{col 26}{space 2} .5086399{col 37}{space 1}   -0.50{col 46}{space 3}0.620{col 54}{space 4}-1.249097{col 67}{space 3} .7447349
{txt}{space 2}mgini_intx {c |}{col 14}{res}{space 2}-.0213114{col 26}{space 2} .0159513{col 37}{space 1}   -1.34{col 46}{space 3}0.182{col 54}{space 4}-.0525754{col 67}{space 3} .0099526
{txt}{space 2}max_rexcll {c |}{col 14}{res}{space 2}-.2178551{col 26}{space 2}  .805336{col 37}{space 1}   -0.27{col 46}{space 3}0.787{col 54}{space 4}-1.796285{col 67}{space 3} 1.360575
{txt}{space 5}ethfrac {c |}{col 14}{res}{space 2} .8021323{col 26}{space 2} .5503525{col 37}{space 1}    1.46{col 46}{space 3}0.145{col 54}{space 4}-.2765388{col 67}{space 3} 1.880803
{txt}{space 8}lpop {c |}{col 14}{res}{space 2} .1954847{col 26}{space 2} .1110836{col 37}{space 1}    1.76{col 46}{space 3}0.078{col 54}{space 4}-.0222351{col 67}{space 3} .4132046
{txt}{space 5}lgdppcl {c |}{col 14}{res}{space 2}-.1452055{col 26}{space 2} .2218243{col 37}{space 1}   -0.65{col 46}{space 3}0.513{col 54}{space 4}-.5799731{col 67}{space 3} .2895621
{txt}{space 4}lonshist {c |}{col 14}{res}{space 2} .4223961{col 26}{space 2} .3033568{col 37}{space 1}    1.39{col 46}{space 3}0.164{col 54}{space 4}-.1721723{col 67}{space 3} 1.016965
{txt}{space 5}pyr_NSA {c |}{col 14}{res}{space 2} .3276431{col 26}{space 2} .1198193{col 37}{space 1}    2.73{col 46}{space 3}0.006{col 54}{space 4} .0928017{col 67}{space 3} .5624845
{txt}{space 4}NSA_spl1 {c |}{col 14}{res}{space 2} .0134842{col 26}{space 2} .0041407{col 37}{space 1}    3.26{col 46}{space 3}0.001{col 54}{space 4} .0053685{col 67}{space 3} .0215998
{txt}{space 4}NSA_spl2 {c |}{col 14}{res}{space 2}-.0037139{col 26}{space 2} .0011158{col 37}{space 1}   -3.33{col 46}{space 3}0.001{col 54}{space 4}-.0059008{col 67}{space 3}-.0015271
{txt}{space 4}NSA_spl3 {c |}{col 14}{res}{space 2} .0006672{col 26}{space 2} .0002128{col 37}{space 1}    3.13{col 46}{space 3}0.002{col 54}{space 4} .0002501{col 67}{space 3} .0010843
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-3.722379{col 26}{space 2} 2.051347{col 37}{space 1}   -1.81{col 46}{space 3}0.070{col 54}{space 4}-7.742946{col 67}{space 3} .2981879
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo m24
{txt}
{com}. 
. logit NSAonset z_ggini sip2l mgini_intx max_rexcll $CONTROLS1 $TIME1 if year>1990, cl(country_id) nolog
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     1,177
{txt}{col 49}Wald chi2({res}12{txt}){col 67}= {res}     24.06
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0200
{txt}Log pseudolikelihood = {res}-152.44988{txt}{col 49}Pseudo R2{col 67}= {res}    0.0728

{txt}{ralign 78:(Std. Err. adjusted for {res:76} clusters in country_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    NSAonset{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}z_ggini {c |}{col 14}{res}{space 2} .5927516{col 26}{space 2} .3200462{col 37}{space 1}    1.85{col 46}{space 3}0.064{col 54}{space 4}-.0345275{col 67}{space 3} 1.220031
{txt}{space 7}sip2l {c |}{col 14}{res}{space 2}-.2251594{col 26}{space 2} .8741875{col 37}{space 1}   -0.26{col 46}{space 3}0.797{col 54}{space 4}-1.938535{col 67}{space 3} 1.488217
{txt}{space 2}mgini_intx {c |}{col 14}{res}{space 2}-.0092705{col 26}{space 2} .0205513{col 37}{space 1}   -0.45{col 46}{space 3}0.652{col 54}{space 4}-.0495504{col 67}{space 3} .0310094
{txt}{space 2}max_rexcll {c |}{col 14}{res}{space 2} .8636464{col 26}{space 2} .8322485{col 37}{space 1}    1.04{col 46}{space 3}0.299{col 54}{space 4}-.7675306{col 67}{space 3} 2.494823
{txt}{space 5}ethfrac {c |}{col 14}{res}{space 2}-.4306046{col 26}{space 2}  .802182{col 37}{space 1}   -0.54{col 46}{space 3}0.591{col 54}{space 4}-2.002852{col 67}{space 3} 1.141643
{txt}{space 8}lpop {c |}{col 14}{res}{space 2}  .131445{col 26}{space 2} .1091041{col 37}{space 1}    1.20{col 46}{space 3}0.228{col 54}{space 4}-.0823951{col 67}{space 3} .3452851
{txt}{space 5}lgdppcl {c |}{col 14}{res}{space 2}-.1102974{col 26}{space 2} .2622033{col 37}{space 1}   -0.42{col 46}{space 3}0.674{col 54}{space 4}-.6242064{col 67}{space 3} .4036116
{txt}{space 4}lonshist {c |}{col 14}{res}{space 2}-.1485962{col 26}{space 2}  .563221{col 37}{space 1}   -0.26{col 46}{space 3}0.792{col 54}{space 4}-1.252489{col 67}{space 3} .9552967
{txt}{space 5}pyr_NSA {c |}{col 14}{res}{space 2} .5436625{col 26}{space 2} .2256992{col 37}{space 1}    2.41{col 46}{space 3}0.016{col 54}{space 4} .1013002{col 67}{space 3} .9860248
{txt}{space 4}NSA_spl1 {c |}{col 14}{res}{space 2} .0206423{col 26}{space 2} .0074793{col 37}{space 1}    2.76{col 46}{space 3}0.006{col 54}{space 4} .0059831{col 67}{space 3} .0353015
{txt}{space 4}NSA_spl2 {c |}{col 14}{res}{space 2}-.0054438{col 26}{space 2} .0019445{col 37}{space 1}   -2.80{col 46}{space 3}0.005{col 54}{space 4}-.0092549{col 67}{space 3}-.0016327
{txt}{space 4}NSA_spl3 {c |}{col 14}{res}{space 2} .0008452{col 26}{space 2} .0003207{col 37}{space 1}    2.64{col 46}{space 3}0.008{col 54}{space 4} .0002166{col 67}{space 3} .0014738
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-3.525386{col 26}{space 2} 2.243243{col 37}{space 1}   -1.57{col 46}{space 3}0.116{col 54}{space 4}-7.922062{col 67}{space 3} .8712891
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo m25
{txt}
{com}. 
. 
.         esttab using output_3.rtf, b(3) se(3) se star(* 0.05  ** 0.01 *** 0.001) stats(N r2, fmt(0 3))
{res}{txt}(output written to {browse  `"output_3.rtf"'})

{com}. 
.         eststo clear
{txt}
{com}. 
. 
. 
. *** Check for sample influence: Table A15 ***
. 
. 
. logit NSAonset z_ethg_ip sip2l mgini_intx max_rexcll  $CONTROLS1 $TIME1 if year>1990 & baseline1==1, cl(country_id) nolog
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       399
{txt}{col 49}Wald chi2({res}12{txt}){col 67}= {res}     23.76
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0219
{txt}Log pseudolikelihood = {res} -38.08791{txt}{col 49}Pseudo R2{col 67}= {res}    0.2435

{txt}{ralign 78:(Std. Err. adjusted for {res:38} clusters in country_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    NSAonset{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}z_ethg_ip {c |}{col 14}{res}{space 2} .8724888{col 26}{space 2} .5954705{col 37}{space 1}    1.47{col 46}{space 3}0.143{col 54}{space 4} -.294612{col 67}{space 3}  2.03959
{txt}{space 7}sip2l {c |}{col 14}{res}{space 2} 4.434148{col 26}{space 2} 5.556059{col 37}{space 1}    0.80{col 46}{space 3}0.425{col 54}{space 4}-6.455527{col 67}{space 3} 15.32382
{txt}{space 2}mgini_intx {c |}{col 14}{res}{space 2}-.0031407{col 26}{space 2} .0432438{col 37}{space 1}   -0.07{col 46}{space 3}0.942{col 54}{space 4}-.0878971{col 67}{space 3} .0816157
{txt}{space 2}max_rexcll {c |}{col 14}{res}{space 2}-.6119644{col 26}{space 2} 1.734185{col 37}{space 1}   -0.35{col 46}{space 3}0.724{col 54}{space 4}-4.010904{col 67}{space 3} 2.786975
{txt}{space 5}ethfrac {c |}{col 14}{res}{space 2} 9.316116{col 26}{space 2} 3.193184{col 37}{space 1}    2.92{col 46}{space 3}0.004{col 54}{space 4} 3.057591{col 67}{space 3} 15.57464
{txt}{space 8}lpop {c |}{col 14}{res}{space 2} .1956658{col 26}{space 2} .2462356{col 37}{space 1}    0.79{col 46}{space 3}0.427{col 54}{space 4}-.2869472{col 67}{space 3} .6782788
{txt}{space 5}lgdppcl {c |}{col 14}{res}{space 2} .1592932{col 26}{space 2} .9563743{col 37}{space 1}    0.17{col 46}{space 3}0.868{col 54}{space 4}-1.715166{col 67}{space 3} 2.033752
{txt}{space 4}lonshist {c |}{col 14}{res}{space 2}-2.915797{col 26}{space 2} 1.085168{col 37}{space 1}   -2.69{col 46}{space 3}0.007{col 54}{space 4}-5.042686{col 67}{space 3}-.7889068
{txt}{space 5}pyr_NSA {c |}{col 14}{res}{space 2} .5611332{col 26}{space 2} .4451088{col 37}{space 1}    1.26{col 46}{space 3}0.207{col 54}{space 4} -.311264{col 67}{space 3}  1.43353
{txt}{space 4}NSA_spl1 {c |}{col 14}{res}{space 2} .0233858{col 26}{space 2} .0170764{col 37}{space 1}    1.37{col 46}{space 3}0.171{col 54}{space 4}-.0100833{col 67}{space 3} .0568548
{txt}{space 4}NSA_spl2 {c |}{col 14}{res}{space 2}-.0063656{col 26}{space 2} .0049225{col 37}{space 1}   -1.29{col 46}{space 3}0.196{col 54}{space 4}-.0160135{col 67}{space 3} .0032824
{txt}{space 4}NSA_spl3 {c |}{col 14}{res}{space 2} .0011142{col 26}{space 2} .0010191{col 37}{space 1}    1.09{col 46}{space 3}0.274{col 54}{space 4}-.0008832{col 67}{space 3} .0031115
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-13.73609{col 26}{space 2} 6.910529{col 37}{space 1}   -1.99{col 46}{space 3}0.047{col 54}{space 4}-27.28047{col 67}{space 3}-.1916986
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo m21
{txt}
{com}. 
. logit NSAonset z_low_ratio sip2l mgini_intx max_rexcll $CONTROLS1 $TIME1 if year>1990 & baseline1==1, cl(country_id) nolog
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       399
{txt}{col 49}Wald chi2({res}12{txt}){col 67}= {res}     29.30
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0036
{txt}Log pseudolikelihood = {res}-38.563102{txt}{col 49}Pseudo R2{col 67}= {res}    0.2341

{txt}{ralign 78:(Std. Err. adjusted for {res:38} clusters in country_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    NSAonset{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}z_low_ratio {c |}{col 14}{res}{space 2} .7474091{col 26}{space 2} .5852496{col 37}{space 1}    1.28{col 46}{space 3}0.202{col 54}{space 4}-.3996591{col 67}{space 3} 1.894477
{txt}{space 7}sip2l {c |}{col 14}{res}{space 2} 4.382342{col 26}{space 2} 4.902391{col 37}{space 1}    0.89{col 46}{space 3}0.371{col 54}{space 4}-5.226168{col 67}{space 3} 13.99085
{txt}{space 2}mgini_intx {c |}{col 14}{res}{space 2}-.0067685{col 26}{space 2} .0478834{col 37}{space 1}   -0.14{col 46}{space 3}0.888{col 54}{space 4}-.1006183{col 67}{space 3} .0870813
{txt}{space 2}max_rexcll {c |}{col 14}{res}{space 2}-.0433454{col 26}{space 2}  1.50263{col 37}{space 1}   -0.03{col 46}{space 3}0.977{col 54}{space 4}-2.988446{col 67}{space 3} 2.901755
{txt}{space 5}ethfrac {c |}{col 14}{res}{space 2}  11.5882{col 26}{space 2} 4.309215{col 37}{space 1}    2.69{col 46}{space 3}0.007{col 54}{space 4} 3.142289{col 67}{space 3}  20.0341
{txt}{space 8}lpop {c |}{col 14}{res}{space 2} .1077269{col 26}{space 2} .3043513{col 37}{space 1}    0.35{col 46}{space 3}0.723{col 54}{space 4}-.4887907{col 67}{space 3} .7042446
{txt}{space 5}lgdppcl {c |}{col 14}{res}{space 2}-.0334424{col 26}{space 2}  .889656{col 37}{space 1}   -0.04{col 46}{space 3}0.970{col 54}{space 4}-1.777136{col 67}{space 3} 1.710251
{txt}{space 4}lonshist {c |}{col 14}{res}{space 2}-2.464479{col 26}{space 2} 1.244384{col 37}{space 1}   -1.98{col 46}{space 3}0.048{col 54}{space 4}-4.903427{col 67}{space 3}-.0255303
{txt}{space 5}pyr_NSA {c |}{col 14}{res}{space 2} .5170098{col 26}{space 2} .4744499{col 37}{space 1}    1.09{col 46}{space 3}0.276{col 54}{space 4}-.4128949{col 67}{space 3} 1.446914
{txt}{space 4}NSA_spl1 {c |}{col 14}{res}{space 2} .0229771{col 26}{space 2} .0188632{col 37}{space 1}    1.22{col 46}{space 3}0.223{col 54}{space 4}-.0139941{col 67}{space 3} .0599483
{txt}{space 4}NSA_spl2 {c |}{col 14}{res}{space 2}-.0063473{col 26}{space 2} .0054392{col 37}{space 1}   -1.17{col 46}{space 3}0.243{col 54}{space 4} -.017008{col 67}{space 3} .0043134
{txt}{space 4}NSA_spl3 {c |}{col 14}{res}{space 2} .0011257{col 26}{space 2} .0011236{col 37}{space 1}    1.00{col 46}{space 3}0.316{col 54}{space 4}-.0010766{col 67}{space 3} .0033279
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-12.59266{col 26}{space 2} 8.231009{col 37}{space 1}   -1.53{col 46}{space 3}0.126{col 54}{space 4}-28.72514{col 67}{space 3} 3.539817
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo m22
{txt}
{com}. 
. logit NSAonset z_lbgi1  sip2l mgini_intx max_rexcll $CONTROLS1 $TIME1 if year>1990 & baseline1==1, cl(country_id) nolog
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       399
{txt}{col 49}Wald chi2({res}12{txt}){col 67}= {res}     33.97
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0007
{txt}Log pseudolikelihood = {res}-35.543683{txt}{col 49}Pseudo R2{col 67}= {res}    0.2940

{txt}{ralign 78:(Std. Err. adjusted for {res:38} clusters in country_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    NSAonset{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}z_lbgi1 {c |}{col 14}{res}{space 2} 1.291677{col 26}{space 2} .5507434{col 37}{space 1}    2.35{col 46}{space 3}0.019{col 54}{space 4}   .21224{col 67}{space 3} 2.371114
{txt}{space 7}sip2l {c |}{col 14}{res}{space 2} 3.694765{col 26}{space 2} 3.421491{col 37}{space 1}    1.08{col 46}{space 3}0.280{col 54}{space 4}-3.011235{col 67}{space 3} 10.40076
{txt}{space 2}mgini_intx {c |}{col 14}{res}{space 2}-.0452047{col 26}{space 2} .0412848{col 37}{space 1}   -1.09{col 46}{space 3}0.274{col 54}{space 4}-.1261215{col 67}{space 3} .0357121
{txt}{space 2}max_rexcll {c |}{col 14}{res}{space 2}-.8417404{col 26}{space 2} 1.701958{col 37}{space 1}   -0.49{col 46}{space 3}0.621{col 54}{space 4}-4.177516{col 67}{space 3} 2.494036
{txt}{space 5}ethfrac {c |}{col 14}{res}{space 2} 11.14613{col 26}{space 2} 4.694466{col 37}{space 1}    2.37{col 46}{space 3}0.018{col 54}{space 4} 1.945148{col 67}{space 3} 20.34712
{txt}{space 8}lpop {c |}{col 14}{res}{space 2} .0118556{col 26}{space 2} .3379589{col 37}{space 1}    0.04{col 46}{space 3}0.972{col 54}{space 4}-.6505317{col 67}{space 3}  .674243
{txt}{space 5}lgdppcl {c |}{col 14}{res}{space 2} -.106772{col 26}{space 2} .6429833{col 37}{space 1}   -0.17{col 46}{space 3}0.868{col 54}{space 4}-1.366996{col 67}{space 3} 1.153452
{txt}{space 4}lonshist {c |}{col 14}{res}{space 2} -2.71119{col 26}{space 2} 1.648592{col 37}{space 1}   -1.64{col 46}{space 3}0.100{col 54}{space 4}-5.942371{col 67}{space 3} .5199916
{txt}{space 5}pyr_NSA {c |}{col 14}{res}{space 2} .1702718{col 26}{space 2} .5421178{col 37}{space 1}    0.31{col 46}{space 3}0.753{col 54}{space 4}-.8922596{col 67}{space 3} 1.232803
{txt}{space 4}NSA_spl1 {c |}{col 14}{res}{space 2} .0110977{col 26}{space 2} .0206315{col 37}{space 1}    0.54{col 46}{space 3}0.591{col 54}{space 4}-.0293394{col 67}{space 3} .0515348
{txt}{space 4}NSA_spl2 {c |}{col 14}{res}{space 2}-.0034289{col 26}{space 2} .0057019{col 37}{space 1}   -0.60{col 46}{space 3}0.548{col 54}{space 4}-.0146045{col 67}{space 3} .0077467
{txt}{space 4}NSA_spl3 {c |}{col 14}{res}{space 2} .0007676{col 26}{space 2} .0010812{col 37}{space 1}    0.71{col 46}{space 3}0.478{col 54}{space 4}-.0013516{col 67}{space 3} .0028868
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -8.12018{col 26}{space 2} 6.709615{col 37}{space 1}   -1.21{col 46}{space 3}0.226{col 54}{space 4}-21.27078{col 67}{space 3} 5.030424
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo m23
{txt}
{com}. 
. logit NSAonset z_SEI sip2l mgini_intx max_rexcll $CONTROLS1 $TIME1 if year>1990 & baseline1==1, cl(country_id) nolog
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       399
{txt}{col 49}Wald chi2({res}12{txt}){col 67}= {res}     33.69
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0008
{txt}Log pseudolikelihood = {res}-38.002325{txt}{col 49}Pseudo R2{col 67}= {res}    0.2452

{txt}{ralign 78:(Std. Err. adjusted for {res:38} clusters in country_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    NSAonset{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}z_SEI {c |}{col 14}{res}{space 2} 1.081119{col 26}{space 2} .7854729{col 37}{space 1}    1.38{col 46}{space 3}0.169{col 54}{space 4}-.4583793{col 67}{space 3} 2.620618
{txt}{space 7}sip2l {c |}{col 14}{res}{space 2} 5.099539{col 26}{space 2} 5.516572{col 37}{space 1}    0.92{col 46}{space 3}0.355{col 54}{space 4}-5.712744{col 67}{space 3} 15.91182
{txt}{space 2}mgini_intx {c |}{col 14}{res}{space 2} .0022957{col 26}{space 2} .0390677{col 37}{space 1}    0.06{col 46}{space 3}0.953{col 54}{space 4}-.0742757{col 67}{space 3}  .078867
{txt}{space 2}max_rexcll {c |}{col 14}{res}{space 2}-.2059999{col 26}{space 2} 1.556131{col 37}{space 1}   -0.13{col 46}{space 3}0.895{col 54}{space 4}-3.255961{col 67}{space 3} 2.843961
{txt}{space 5}ethfrac {c |}{col 14}{res}{space 2} 10.95568{col 26}{space 2} 4.059144{col 37}{space 1}    2.70{col 46}{space 3}0.007{col 54}{space 4} 2.999902{col 67}{space 3} 18.91146
{txt}{space 8}lpop {c |}{col 14}{res}{space 2} .1472764{col 26}{space 2} .2906812{col 37}{space 1}    0.51{col 46}{space 3}0.612{col 54}{space 4}-.4224482{col 67}{space 3}  .717001
{txt}{space 5}lgdppcl {c |}{col 14}{res}{space 2} .0251525{col 26}{space 2} 1.034171{col 37}{space 1}    0.02{col 46}{space 3}0.981{col 54}{space 4}-2.001785{col 67}{space 3}  2.05209
{txt}{space 4}lonshist {c |}{col 14}{res}{space 2}-2.937023{col 26}{space 2} 1.184092{col 37}{space 1}   -2.48{col 46}{space 3}0.013{col 54}{space 4}  -5.2578{col 67}{space 3}-.6162455
{txt}{space 5}pyr_NSA {c |}{col 14}{res}{space 2} .6259134{col 26}{space 2}  .505448{col 37}{space 1}    1.24{col 46}{space 3}0.216{col 54}{space 4}-.3647465{col 67}{space 3} 1.616573
{txt}{space 4}NSA_spl1 {c |}{col 14}{res}{space 2} .0276063{col 26}{space 2} .0196715{col 37}{space 1}    1.40{col 46}{space 3}0.161{col 54}{space 4}-.0109491{col 67}{space 3} .0661617
{txt}{space 4}NSA_spl2 {c |}{col 14}{res}{space 2}-.0075452{col 26}{space 2} .0056024{col 37}{space 1}   -1.35{col 46}{space 3}0.178{col 54}{space 4}-.0185256{col 67}{space 3} .0034352
{txt}{space 4}NSA_spl3 {c |}{col 14}{res}{space 2} .0012917{col 26}{space 2} .0011151{col 37}{space 1}    1.16{col 46}{space 3}0.247{col 54}{space 4}-.0008939{col 67}{space 3} .0034774
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-13.20701{col 26}{space 2} 8.856728{col 37}{space 1}   -1.49{col 46}{space 3}0.136{col 54}{space 4}-30.56588{col 67}{space 3} 4.151856
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo m24
{txt}
{com}. 
. logit NSAonset z_ggini sip2l mgini_intx max_rexcll $CONTROLS1 $TIME1 if year>1990 & baseline1==1, cl(country_id) nolog
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       399
{txt}{col 49}Wald chi2({res}12{txt}){col 67}= {res}     48.17
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-36.707894{txt}{col 49}Pseudo R2{col 67}= {res}    0.2709

{txt}{ralign 78:(Std. Err. adjusted for {res:38} clusters in country_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    NSAonset{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}z_ggini {c |}{col 14}{res}{space 2} 1.273863{col 26}{space 2} .8134111{col 37}{space 1}    1.57{col 46}{space 3}0.117{col 54}{space 4}-.3203937{col 67}{space 3} 2.868119
{txt}{space 7}sip2l {c |}{col 14}{res}{space 2} 5.697726{col 26}{space 2}  4.65117{col 37}{space 1}    1.23{col 46}{space 3}0.221{col 54}{space 4}-3.418399{col 67}{space 3} 14.81385
{txt}{space 2}mgini_intx {c |}{col 14}{res}{space 2} .0367414{col 26}{space 2} .0324541{col 37}{space 1}    1.13{col 46}{space 3}0.258{col 54}{space 4}-.0268675{col 67}{space 3} .1003502
{txt}{space 2}max_rexcll {c |}{col 14}{res}{space 2} 1.892296{col 26}{space 2} 1.993272{col 37}{space 1}    0.95{col 46}{space 3}0.342{col 54}{space 4}-2.014444{col 67}{space 3} 5.799037
{txt}{space 5}ethfrac {c |}{col 14}{res}{space 2} 7.254783{col 26}{space 2} 3.063647{col 37}{space 1}    2.37{col 46}{space 3}0.018{col 54}{space 4} 1.250145{col 67}{space 3} 13.25942
{txt}{space 8}lpop {c |}{col 14}{res}{space 2} .1906049{col 26}{space 2} .2335617{col 37}{space 1}    0.82{col 46}{space 3}0.414{col 54}{space 4}-.2671677{col 67}{space 3} .6483775
{txt}{space 5}lgdppcl {c |}{col 14}{res}{space 2} -.046281{col 26}{space 2} .5581046{col 37}{space 1}   -0.08{col 46}{space 3}0.934{col 54}{space 4}-1.140146{col 67}{space 3} 1.047584
{txt}{space 4}lonshist {c |}{col 14}{res}{space 2}-2.716749{col 26}{space 2} 1.098878{col 37}{space 1}   -2.47{col 46}{space 3}0.013{col 54}{space 4} -4.87051{col 67}{space 3} -.562988
{txt}{space 5}pyr_NSA {c |}{col 14}{res}{space 2} .6447364{col 26}{space 2} .4888055{col 37}{space 1}    1.32{col 46}{space 3}0.187{col 54}{space 4}-.3133049{col 67}{space 3} 1.602778
{txt}{space 4}NSA_spl1 {c |}{col 14}{res}{space 2} .0247172{col 26}{space 2}  .016962{col 37}{space 1}    1.46{col 46}{space 3}0.145{col 54}{space 4}-.0085277{col 67}{space 3}  .057962
{txt}{space 4}NSA_spl2 {c |}{col 14}{res}{space 2}-.0063566{col 26}{space 2} .0046779{col 37}{space 1}   -1.36{col 46}{space 3}0.174{col 54}{space 4}-.0155251{col 67}{space 3} .0028118
{txt}{space 4}NSA_spl3 {c |}{col 14}{res}{space 2} .0009502{col 26}{space 2} .0009401{col 37}{space 1}    1.01{col 46}{space 3}0.312{col 54}{space 4}-.0008924{col 67}{space 3} .0027929
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-13.88144{col 26}{space 2} 5.078738{col 37}{space 1}   -2.73{col 46}{space 3}0.006{col 54}{space 4}-23.83559{col 67}{space 3}-3.927299
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo m25
{txt}
{com}. 
. 
.         esttab using output_3b.rtf, b(3) se(3) se star(* 0.05  ** 0.01 *** 0.001) stats(N r2, fmt(0 3))
{res}{txt}(output written to {browse  `"output_3b.rtf"'})

{com}. 
.         eststo clear
{txt}
{com}. 
. **************************************************************************
. ************** Table A16-17: Replication Baldwin and Huber (2010) *************
. **************************************************************************
. 
. *** Table A16 ***
. 
. reg pg z_ethg_ip lngdpstd popstd polity2std afrobarom wvs cses, robust

{txt}Linear regression                               Number of obs     = {res}        46
                                                {txt}F(7, 38)          =  {res}   114.04
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.8755
                                                {txt}Root MSE          =    {res} .39014

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}          pg{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}z_ethg_ip {c |}{col 14}{res}{space 2}-.2786468{col 26}{space 2} .0796691{col 37}{space 1}   -3.50{col 46}{space 3}0.001{col 54}{space 4}-.4399284{col 67}{space 3}-.1173652
{txt}{space 4}lngdpstd {c |}{col 14}{res}{space 2} .5829123{col 26}{space 2}  .159646{col 37}{space 1}    3.65{col 46}{space 3}0.001{col 54}{space 4} .2597258{col 67}{space 3} .9060988
{txt}{space 6}popstd {c |}{col 14}{res}{space 2}-.1418256{col 26}{space 2} .0556269{col 37}{space 1}   -2.55{col 46}{space 3}0.015{col 54}{space 4}-.2544365{col 67}{space 3}-.0292147
{txt}{space 2}polity2std {c |}{col 14}{res}{space 2} .0357583{col 26}{space 2} .1255706{col 37}{space 1}    0.28{col 46}{space 3}0.777{col 54}{space 4} -.218446{col 67}{space 3} .2899627
{txt}{space 3}afrobarom {c |}{col 14}{res}{space 2}-.5536282{col 26}{space 2} .2969279{col 37}{space 1}   -1.86{col 46}{space 3}0.070{col 54}{space 4}-1.154727{col 67}{space 3}  .047471
{txt}{space 9}wvs {c |}{col 14}{res}{space 2}-.1851486{col 26}{space 2} .1580006{col 37}{space 1}   -1.17{col 46}{space 3}0.249{col 54}{space 4} -.505004{col 67}{space 3} .1347069
{txt}{space 8}cses {c |}{col 14}{res}{space 2}  .084569{col 26}{space 2} .1712155{col 37}{space 1}    0.49{col 46}{space 3}0.624{col 54}{space 4}-.2620387{col 67}{space 3} .4311767
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .1596564{col 26}{space 2} .1359064{col 37}{space 1}    1.17{col 46}{space 3}0.247{col 54}{space 4}-.1154717{col 67}{space 3} .4347846
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo m31
{txt}
{com}. 
. reg pg z_low_ratio lngdpstd popstd polity2std afrobarom wvs cses, robust

{txt}Linear regression                               Number of obs     = {res}        46
                                                {txt}F(7, 38)          =  {res}    41.20
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.8446
                                                {txt}Root MSE          =    {res} .43584

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}          pg{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}z_low_ratio {c |}{col 14}{res}{space 2} .0171765{col 26}{space 2} .0336295{col 37}{space 1}    0.51{col 46}{space 3}0.612{col 54}{space 4}-.0509028{col 67}{space 3} .0852558
{txt}{space 4}lngdpstd {c |}{col 14}{res}{space 2} .5016045{col 26}{space 2} .2031671{col 37}{space 1}    2.47{col 46}{space 3}0.018{col 54}{space 4} .0903142{col 67}{space 3} .9128949
{txt}{space 6}popstd {c |}{col 14}{res}{space 2}-.2408156{col 26}{space 2} .0753547{col 37}{space 1}   -3.20{col 46}{space 3}0.003{col 54}{space 4}-.3933632{col 67}{space 3} -.088268
{txt}{space 2}polity2std {c |}{col 14}{res}{space 2} .1956126{col 26}{space 2} .1529774{col 37}{space 1}    1.28{col 46}{space 3}0.209{col 54}{space 4}-.1140739{col 67}{space 3} .5052992
{txt}{space 3}afrobarom {c |}{col 14}{res}{space 2} -.655688{col 26}{space 2} .3321736{col 37}{space 1}   -1.97{col 46}{space 3}0.056{col 54}{space 4}-1.328138{col 67}{space 3} .0167624
{txt}{space 9}wvs {c |}{col 14}{res}{space 2} .0055487{col 26}{space 2} .1488301{col 37}{space 1}    0.04{col 46}{space 3}0.970{col 54}{space 4}-.2957421{col 67}{space 3} .3068395
{txt}{space 8}cses {c |}{col 14}{res}{space 2} .2126468{col 26}{space 2}  .182767{col 37}{space 1}    1.16{col 46}{space 3}0.252{col 54}{space 4}-.1573456{col 67}{space 3} .5826391
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .1233861{col 26}{space 2} .1485729{col 37}{space 1}    0.83{col 46}{space 3}0.411{col 54}{space 4} -.177384{col 67}{space 3} .4241561
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo m32
{txt}
{com}. 
. reg pg z_lbgi1 lngdpstd popstd polity2std afrobarom wvs cses, robust

{txt}Linear regression                               Number of obs     = {res}        30
                                                {txt}F(7, 22)          =  {res}    84.56
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.8658
                                                {txt}Root MSE          =    {res} .44725

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}          pg{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}z_lbgi1 {c |}{col 14}{res}{space 2}-.3032137{col 26}{space 2} .3556791{col 37}{space 1}   -0.85{col 46}{space 3}0.403{col 54}{space 4}-1.040847{col 67}{space 3} .4344196
{txt}{space 4}lngdpstd {c |}{col 14}{res}{space 2} .2985157{col 26}{space 2} .2624554{col 37}{space 1}    1.14{col 46}{space 3}0.268{col 54}{space 4}-.2457834{col 67}{space 3} .8428148
{txt}{space 6}popstd {c |}{col 14}{res}{space 2}-.2584847{col 26}{space 2} .0976668{col 37}{space 1}   -2.65{col 46}{space 3}0.015{col 54}{space 4}-.4610332{col 67}{space 3}-.0559361
{txt}{space 2}polity2std {c |}{col 14}{res}{space 2} .3323002{col 26}{space 2} .1699716{col 37}{space 1}    1.96{col 46}{space 3}0.063{col 54}{space 4}-.0201994{col 67}{space 3} .6847998
{txt}{space 3}afrobarom {c |}{col 14}{res}{space 2}-1.010089{col 26}{space 2} .4805208{col 37}{space 1}   -2.10{col 46}{space 3}0.047{col 54}{space 4}-2.006628{col 67}{space 3}-.0135495
{txt}{space 9}wvs {c |}{col 14}{res}{space 2} .0654528{col 26}{space 2} .2302371{col 37}{space 1}    0.28{col 46}{space 3}0.779{col 54}{space 4}-.4120298{col 67}{space 3} .5429354
{txt}{space 8}cses {c |}{col 14}{res}{space 2} .2109662{col 26}{space 2} .2168389{col 37}{space 1}    0.97{col 46}{space 3}0.341{col 54}{space 4}-.2387302{col 67}{space 3} .6606626
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .1000129{col 26}{space 2} .2193301{col 37}{space 1}    0.46{col 46}{space 3}0.653{col 54}{space 4}-.3548499{col 67}{space 3} .5548758
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo m33
{txt}
{com}. 
. reg pg z_SEI lngdpstd popstd polity2std afrobarom wvs cses, robust

{txt}Linear regression                               Number of obs     = {res}        46
                                                {txt}F(7, 38)          =  {res}    74.92
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.8646
                                                {txt}Root MSE          =    {res} .40678

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}          pg{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}z_SEI {c |}{col 14}{res}{space 2}-.3070297{col 26}{space 2}  .134516{col 37}{space 1}   -2.28{col 46}{space 3}0.028{col 54}{space 4} -.579343{col 67}{space 3}-.0347163
{txt}{space 4}lngdpstd {c |}{col 14}{res}{space 2} .3917593{col 26}{space 2} .1892359{col 37}{space 1}    2.07{col 46}{space 3}0.045{col 54}{space 4} .0086713{col 67}{space 3} .7748473
{txt}{space 6}popstd {c |}{col 14}{res}{space 2} -.171615{col 26}{space 2} .0526573{col 37}{space 1}   -3.26{col 46}{space 3}0.002{col 54}{space 4}-.2782142{col 67}{space 3}-.0650159
{txt}{space 2}polity2std {c |}{col 14}{res}{space 2}  .120316{col 26}{space 2} .1282639{col 37}{space 1}    0.94{col 46}{space 3}0.354{col 54}{space 4}-.1393406{col 67}{space 3} .3799727
{txt}{space 3}afrobarom {c |}{col 14}{res}{space 2}-.6765542{col 26}{space 2} .3133858{col 37}{space 1}   -2.16{col 46}{space 3}0.037{col 54}{space 4}-1.310971{col 67}{space 3}-.0421378
{txt}{space 9}wvs {c |}{col 14}{res}{space 2}-.1230501{col 26}{space 2} .1607728{col 37}{space 1}   -0.77{col 46}{space 3}0.449{col 54}{space 4}-.4485175{col 67}{space 3} .2024173
{txt}{space 8}cses {c |}{col 14}{res}{space 2}   .09835{col 26}{space 2} .1668157{col 37}{space 1}    0.59{col 46}{space 3}0.559{col 54}{space 4}-.2393508{col 67}{space 3} .4360508
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0570895{col 26}{space 2} .1067152{col 37}{space 1}   -0.53{col 46}{space 3}0.596{col 54}{space 4}-.2731232{col 67}{space 3} .1589442
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo m34
{txt}
{com}. 
. reg pg z_ggini lngdpstd popstd polity2std afrobarom wvs cses, robust

{txt}Linear regression                               Number of obs     = {res}        21
                                                {txt}{help j_robustsingular:F(6, 13) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.8264
                                                {txt}Root MSE          =    {res} .49443

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}          pg{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}z_ggini {c |}{col 14}{res}{space 2}-.3534972{col 26}{space 2} .1392877{col 37}{space 1}   -2.54{col 46}{space 3}0.025{col 54}{space 4}-.6544099{col 67}{space 3}-.0525845
{txt}{space 4}lngdpstd {c |}{col 14}{res}{space 2} .4587566{col 26}{space 2}  .227843{col 37}{space 1}    2.01{col 46}{space 3}0.065{col 54}{space 4}-.0334682{col 67}{space 3} .9509814
{txt}{space 6}popstd {c |}{col 14}{res}{space 2}-.4272964{col 26}{space 2} .3524908{col 37}{space 1}   -1.21{col 46}{space 3}0.247{col 54}{space 4}-1.188807{col 67}{space 3} .3342138
{txt}{space 2}polity2std {c |}{col 14}{res}{space 2} .1128673{col 26}{space 2} .1319768{col 37}{space 1}    0.86{col 46}{space 3}0.408{col 54}{space 4}-.1722514{col 67}{space 3} .3979859
{txt}{space 3}afrobarom {c |}{col 14}{res}{space 2}-.6644536{col 26}{space 2} .4547794{col 37}{space 1}   -1.46{col 46}{space 3}0.168{col 54}{space 4}-1.646945{col 67}{space 3} .3180375
{txt}{space 9}wvs {c |}{col 14}{res}{space 2}-.2418901{col 26}{space 2} .3905045{col 37}{space 1}   -0.62{col 46}{space 3}0.546{col 54}{space 4}-1.085524{col 67}{space 3} .6017436
{txt}{space 8}cses {c |}{col 14}{res}{space 2}  .690263{col 26}{space 2} .3716579{col 37}{space 1}    1.86{col 46}{space 3}0.086{col 54}{space 4} -.112655{col 67}{space 3} 1.493181
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0462708{col 26}{space 2} .3426541{col 37}{space 1}    0.14{col 46}{space 3}0.895{col 54}{space 4}-.6939884{col 67}{space 3} .7865301
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo m35
{txt}
{com}. 
. reg pg betweenstd lngdpstd popstd polity2std afrobarom wvs cses, robust

{txt}Linear regression                               Number of obs     = {res}        46
                                                {txt}F(7, 38)          =  {res}    46.20
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.8577
                                                {txt}Root MSE          =    {res} .41702

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}          pg{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}betweenstd {c |}{col 14}{res}{space 2}-.1374521{col 26}{space 2} .0650244{col 37}{space 1}   -2.11{col 46}{space 3}0.041{col 54}{space 4} -.269087{col 67}{space 3}-.0058172
{txt}{space 4}lngdpstd {c |}{col 14}{res}{space 2} .4921093{col 26}{space 2} .1719547{col 37}{space 1}    2.86{col 46}{space 3}0.007{col 54}{space 4} .1440052{col 67}{space 3} .8402134
{txt}{space 6}popstd {c |}{col 14}{res}{space 2}-.2001866{col 26}{space 2}  .055555{col 37}{space 1}   -3.60{col 46}{space 3}0.001{col 54}{space 4}-.3126518{col 67}{space 3}-.0877215
{txt}{space 2}polity2std {c |}{col 14}{res}{space 2} .1721143{col 26}{space 2} .1159817{col 37}{space 1}    1.48{col 46}{space 3}0.146{col 54}{space 4}-.0626783{col 67}{space 3}  .406907
{txt}{space 3}afrobarom {c |}{col 14}{res}{space 2}-.6201949{col 26}{space 2} .2886122{col 37}{space 1}   -2.15{col 46}{space 3}0.038{col 54}{space 4} -1.20446{col 67}{space 3}  -.03593
{txt}{space 9}wvs {c |}{col 14}{res}{space 2}-.0432953{col 26}{space 2} .1334395{col 37}{space 1}   -0.32{col 46}{space 3}0.747{col 54}{space 4}-.3134294{col 67}{space 3} .2268388
{txt}{space 8}cses {c |}{col 14}{res}{space 2} .1405442{col 26}{space 2}  .182751{col 37}{space 1}    0.77{col 46}{space 3}0.447{col 54}{space 4}-.2294158{col 67}{space 3} .5105042
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .1493514{col 26}{space 2} .1368202{col 37}{space 1}    1.09{col 46}{space 3}0.282{col 54}{space 4}-.1276266{col 67}{space 3} .4263294
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo m36
{txt}
{com}. 
.         esttab using output_4.rtf, b(3) se(3) se star(* 0.05  ** 0.01 *** 0.001) stats(N r2, fmt(0 3))
{res}{txt}(output written to {browse  `"output_4.rtf"'})

{com}. 
.         eststo clear
{txt}
{com}. 
. 
. *** Check for sample influence: Table A17 ***
. 
. reg z_ethg_ip z_low_ratio z_lbgi1 z_SEI z_ggini betweenstd

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}        13
{txt}{hline 13}{c +}{hline 34}   F(5, 7)         = {res}     3.42
{txt}       Model {c |} {res} 6.46485026         5  1.29297005   {txt}Prob > F        ={res}    0.0697
{txt}    Residual {c |} {res} 2.64349988         7   .37764284   {txt}R-squared       ={res}    0.7098
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.5025
{txt}       Total {c |} {res} 9.10835014        12  .759029178   {txt}Root MSE        =   {res} .61453

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   z_ethg_ip{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}z_low_ratio {c |}{col 14}{res}{space 2}-.5058485{col 26}{space 2} 1.156734{col 37}{space 1}   -0.44{col 46}{space 3}0.675{col 54}{space 4} -3.24109{col 67}{space 3} 2.229393
{txt}{space 5}z_lbgi1 {c |}{col 14}{res}{space 2} -.254507{col 26}{space 2} .8169275{col 37}{space 1}   -0.31{col 46}{space 3}0.764{col 54}{space 4}-2.186234{col 67}{space 3}  1.67722
{txt}{space 7}z_SEI {c |}{col 14}{res}{space 2} .7317202{col 26}{space 2} .3500006{col 37}{space 1}    2.09{col 46}{space 3}0.075{col 54}{space 4}-.0958997{col 67}{space 3}  1.55934
{txt}{space 5}z_ggini {c |}{col 14}{res}{space 2} .2827126{col 26}{space 2} .2841454{col 37}{space 1}    0.99{col 46}{space 3}0.353{col 54}{space 4}-.3891846{col 67}{space 3} .9546099
{txt}{space 2}betweenstd {c |}{col 14}{res}{space 2} .5464876{col 26}{space 2} .2337899{col 37}{space 1}    2.34{col 46}{space 3}0.052{col 54}{space 4}-.0063376{col 67}{space 3} 1.099313
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .1256032{col 26}{space 2} .4328983{col 37}{space 1}    0.29{col 46}{space 3}0.780{col 54}{space 4}-.8980386{col 67}{space 3} 1.149245
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. generate baseline2 = e(sample)
{txt}
{com}. 
. reg pg z_ethg_ip lngdpstd popstd polity2std afrobarom wvs cses if baseline2 ==1, robust

{txt}Linear regression                               Number of obs     = {res}        13
                                                {txt}{help j_robustsingular:F(6, 5) }          =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.9501
                                                {txt}Root MSE          =    {res} .36807

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}          pg{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}z_ethg_ip {c |}{col 14}{res}{space 2}-.5448747{col 26}{space 2} .2156752{col 37}{space 1}   -2.53{col 46}{space 3}0.053{col 54}{space 4}-1.099285{col 67}{space 3} .0095359
{txt}{space 4}lngdpstd {c |}{col 14}{res}{space 2}  .424247{col 26}{space 2} .2202184{col 37}{space 1}    1.93{col 46}{space 3}0.112{col 54}{space 4}-.1418423{col 67}{space 3} .9903364
{txt}{space 6}popstd {c |}{col 14}{res}{space 2}-.4643589{col 26}{space 2} .2516283{col 37}{space 1}   -1.85{col 46}{space 3}0.124{col 54}{space 4} -1.11119{col 67}{space 3} .1824723
{txt}{space 2}polity2std {c |}{col 14}{res}{space 2} .3433784{col 26}{space 2} .1980308{col 37}{space 1}    1.73{col 46}{space 3}0.143{col 54}{space 4} -.165676{col 67}{space 3} .8524327
{txt}{space 3}afrobarom {c |}{col 14}{res}{space 2}-1.112487{col 26}{space 2} .4959116{col 37}{space 1}   -2.24{col 46}{space 3}0.075{col 54}{space 4}-2.387269{col 67}{space 3} .1622939
{txt}{space 9}wvs {c |}{col 14}{res}{space 2}-.5213449{col 26}{space 2}  .594664{col 37}{space 1}   -0.88{col 46}{space 3}0.421{col 54}{space 4}-2.049977{col 67}{space 3} 1.007288
{txt}{space 8}cses {c |}{col 14}{res}{space 2}-.1379414{col 26}{space 2} .5880823{col 37}{space 1}   -0.23{col 46}{space 3}0.824{col 54}{space 4}-1.649655{col 67}{space 3} 1.373772
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .7857772{col 26}{space 2} .3667523{col 37}{space 1}    2.14{col 46}{space 3}0.085{col 54}{space 4}-.1569895{col 67}{space 3} 1.728544
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo m31
{txt}
{com}. 
. reg pg z_low_ratio lngdpstd popstd polity2std afrobarom wvs cses if baseline2 ==1, robust

{txt}Linear regression                               Number of obs     = {res}        13
                                                {txt}{help j_robustsingular:F(6, 5) }          =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.8382
                                                {txt}Root MSE          =    {res} .66303

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}          pg{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}z_low_ratio {c |}{col 14}{res}{space 2}-.1917137{col 26}{space 2} 1.663078{col 37}{space 1}   -0.12{col 46}{space 3}0.913{col 54}{space 4}-4.466791{col 67}{space 3} 4.083364
{txt}{space 4}lngdpstd {c |}{col 14}{res}{space 2}  .283906{col 26}{space 2} .3923399{col 37}{space 1}    0.72{col 46}{space 3}0.502{col 54}{space 4}-.7246359{col 67}{space 3} 1.292448
{txt}{space 6}popstd {c |}{col 14}{res}{space 2}-.7068657{col 26}{space 2} .7358485{col 37}{space 1}   -0.96{col 46}{space 3}0.381{col 54}{space 4}-2.598424{col 67}{space 3} 1.184693
{txt}{space 2}polity2std {c |}{col 14}{res}{space 2} .4275469{col 26}{space 2} .3378855{col 37}{space 1}    1.27{col 46}{space 3}0.262{col 54}{space 4}-.4410155{col 67}{space 3} 1.296109
{txt}{space 3}afrobarom {c |}{col 14}{res}{space 2}-1.471021{col 26}{space 2} 2.096664{col 37}{space 1}   -0.70{col 46}{space 3}0.514{col 54}{space 4}-6.860667{col 67}{space 3} 3.918625
{txt}{space 9}wvs {c |}{col 14}{res}{space 2}-.4042285{col 26}{space 2} 1.603212{col 37}{space 1}   -0.25{col 46}{space 3}0.811{col 54}{space 4}-4.525415{col 67}{space 3} 3.716958
{txt}{space 8}cses {c |}{col 14}{res}{space 2} .4734602{col 26}{space 2} 2.038089{col 37}{space 1}    0.23{col 46}{space 3}0.826{col 54}{space 4}-4.765614{col 67}{space 3} 5.712534
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  .631689{col 26}{space 2} 1.473391{col 37}{space 1}    0.43{col 46}{space 3}0.686{col 54}{space 4}-3.155784{col 67}{space 3} 4.419162
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo m32
{txt}
{com}. 
. reg pg z_lbgi1 lngdpstd popstd polity2std afrobarom wvs cses if baseline2 ==1, robust

{txt}Linear regression                               Number of obs     = {res}        13
                                                {txt}{help j_robustsingular:F(6, 5) }          =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.8380
                                                {txt}Root MSE          =    {res} .66344

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}          pg{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}z_lbgi1 {c |}{col 14}{res}{space 2} .0565846{col 26}{space 2} .8161977{col 37}{space 1}    0.07{col 46}{space 3}0.947{col 54}{space 4}-2.041518{col 67}{space 3} 2.154688
{txt}{space 4}lngdpstd {c |}{col 14}{res}{space 2} .2440116{col 26}{space 2} .4959349{col 37}{space 1}    0.49{col 46}{space 3}0.644{col 54}{space 4} -1.03083{col 67}{space 3} 1.518853
{txt}{space 6}popstd {c |}{col 14}{res}{space 2}-.7723079{col 26}{space 2} .6618969{col 37}{space 1}   -1.17{col 46}{space 3}0.296{col 54}{space 4}-2.473768{col 67}{space 3} .9291521
{txt}{space 2}polity2std {c |}{col 14}{res}{space 2} .4277872{col 26}{space 2} .3979074{col 37}{space 1}    1.08{col 46}{space 3}0.331{col 54}{space 4}-.5950662{col 67}{space 3} 1.450641
{txt}{space 3}afrobarom {c |}{col 14}{res}{space 2}-1.648096{col 26}{space 2} 1.804216{col 37}{space 1}   -0.91{col 46}{space 3}0.403{col 54}{space 4}-6.285982{col 67}{space 3} 2.989789
{txt}{space 9}wvs {c |}{col 14}{res}{space 2}-.5091047{col 26}{space 2} 1.478969{col 37}{space 1}   -0.34{col 46}{space 3}0.745{col 54}{space 4}-4.310916{col 67}{space 3} 3.292707
{txt}{space 8}cses {c |}{col 14}{res}{space 2} .2653781{col 26}{space 2} 1.480592{col 37}{space 1}    0.18{col 46}{space 3}0.865{col 54}{space 4}-3.540606{col 67}{space 3} 4.071362
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .7872541{col 26}{space 2} 1.334385{col 37}{space 1}    0.59{col 46}{space 3}0.581{col 54}{space 4}-2.642892{col 67}{space 3}   4.2174
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo m33
{txt}
{com}. 
. reg pg z_SEI lngdpstd popstd polity2std afrobarom wvs cses if baseline2 ==1, robust

{txt}Linear regression                               Number of obs     = {res}        13
                                                {txt}{help j_robustsingular:F(6, 5) }          =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.9182
                                                {txt}Root MSE          =    {res} .47133

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}          pg{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}z_SEI {c |}{col 14}{res}{space 2}-.6604303{col 26}{space 2} .2696813{col 37}{space 1}   -2.45{col 46}{space 3}0.058{col 54}{space 4}-1.353668{col 67}{space 3} .0328074
{txt}{space 4}lngdpstd {c |}{col 14}{res}{space 2} .0241119{col 26}{space 2} .1879346{col 37}{space 1}    0.13{col 46}{space 3}0.903{col 54}{space 4}-.4589894{col 67}{space 3} .5072132
{txt}{space 6}popstd {c |}{col 14}{res}{space 2}-.4815728{col 26}{space 2} .2566144{col 37}{space 1}   -1.88{col 46}{space 3}0.119{col 54}{space 4}-1.141221{col 67}{space 3} .1780755
{txt}{space 2}polity2std {c |}{col 14}{res}{space 2} .2774348{col 26}{space 2} .3339959{col 37}{space 1}    0.83{col 46}{space 3}0.444{col 54}{space 4} -.581129{col 67}{space 3} 1.135999
{txt}{space 3}afrobarom {c |}{col 14}{res}{space 2}-1.883896{col 26}{space 2}  .946141{col 37}{space 1}   -1.99{col 46}{space 3}0.103{col 54}{space 4}-4.316029{col 67}{space 3} .5482364
{txt}{space 9}wvs {c |}{col 14}{res}{space 2}-.6802258{col 26}{space 2} .7794507{col 37}{space 1}   -0.87{col 46}{space 3}0.423{col 54}{space 4}-2.683867{col 67}{space 3} 1.323416
{txt}{space 8}cses {c |}{col 14}{res}{space 2}-.1859511{col 26}{space 2} .7473548{col 37}{space 1}   -0.25{col 46}{space 3}0.813{col 54}{space 4}-2.107088{col 67}{space 3} 1.735186
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .4750684{col 26}{space 2} .4898429{col 37}{space 1}    0.97{col 46}{space 3}0.377{col 54}{space 4}-.7841128{col 67}{space 3}  1.73425
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo m34
{txt}
{com}. 
. reg pg z_ggini lngdpstd popstd polity2std afrobarom wvs cses if baseline2 ==1, robust

{txt}Linear regression                               Number of obs     = {res}        13
                                                {txt}{help j_robustsingular:F(6, 5) }          =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.8546
                                                {txt}Root MSE          =    {res} .62867

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}          pg{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}z_ggini {c |}{col 14}{res}{space 2}-.3298051{col 26}{space 2} .5274033{col 37}{space 1}   -0.63{col 46}{space 3}0.559{col 54}{space 4}-1.685538{col 67}{space 3} 1.025928
{txt}{space 4}lngdpstd {c |}{col 14}{res}{space 2} .4743128{col 26}{space 2} .5703474{col 37}{space 1}    0.83{col 46}{space 3}0.444{col 54}{space 4} -.991812{col 67}{space 3} 1.940438
{txt}{space 6}popstd {c |}{col 14}{res}{space 2}-.6238303{col 26}{space 2} .5663597{col 37}{space 1}   -1.10{col 46}{space 3}0.321{col 54}{space 4}-2.079704{col 67}{space 3} .8320438
{txt}{space 2}polity2std {c |}{col 14}{res}{space 2} .2595913{col 26}{space 2} .4000277{col 37}{space 1}    0.65{col 46}{space 3}0.545{col 54}{space 4}-.7687127{col 67}{space 3} 1.287895
{txt}{space 3}afrobarom {c |}{col 14}{res}{space 2}-.7608057{col 26}{space 2} 2.038212{col 37}{space 1}   -0.37{col 46}{space 3}0.724{col 54}{space 4}-6.000197{col 67}{space 3} 4.478586
{txt}{space 9}wvs {c |}{col 14}{res}{space 2}-.1927317{col 26}{space 2} 1.332291{col 37}{space 1}   -0.14{col 46}{space 3}0.891{col 54}{space 4}-3.617494{col 67}{space 3}  3.23203
{txt}{space 8}cses {c |}{col 14}{res}{space 2}  .549643{col 26}{space 2}  1.17137{col 37}{space 1}    0.47{col 46}{space 3}0.659{col 54}{space 4} -2.46146{col 67}{space 3} 3.560746
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .2773047{col 26}{space 2} 1.196465{col 37}{space 1}    0.23{col 46}{space 3}0.826{col 54}{space 4}-2.798306{col 67}{space 3} 3.352915
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo m35
{txt}
{com}. 
. reg pg betweenstd lngdpstd popstd polity2std afrobarom wvs cses if baseline2 ==1, robust

{txt}Linear regression                               Number of obs     = {res}        13
                                                {txt}{help j_robustsingular:F(6, 5) }          =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.8643
                                                {txt}Root MSE          =    {res} .60724

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}          pg{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}betweenstd {c |}{col 14}{res}{space 2}-.2868408{col 26}{space 2} .2439386{col 37}{space 1}   -1.18{col 46}{space 3}0.293{col 54}{space 4}-.9139048{col 67}{space 3} .3402233
{txt}{space 4}lngdpstd {c |}{col 14}{res}{space 2}  .433828{col 26}{space 2}  .341011{col 37}{space 1}    1.27{col 46}{space 3}0.259{col 54}{space 4}-.4427687{col 67}{space 3} 1.310425
{txt}{space 6}popstd {c |}{col 14}{res}{space 2}-.8844241{col 26}{space 2} .4787522{col 37}{space 1}   -1.85{col 46}{space 3}0.124{col 54}{space 4}-2.115096{col 67}{space 3} .3462476
{txt}{space 2}polity2std {c |}{col 14}{res}{space 2} .3769437{col 26}{space 2} .2777117{col 37}{space 1}    1.36{col 46}{space 3}0.233{col 54}{space 4} -.336937{col 67}{space 3} 1.090824
{txt}{space 3}afrobarom {c |}{col 14}{res}{space 2}-1.667322{col 26}{space 2} 1.126888{col 37}{space 1}   -1.48{col 46}{space 3}0.199{col 54}{space 4}-4.564079{col 67}{space 3} 1.229435
{txt}{space 9}wvs {c |}{col 14}{res}{space 2}-.8687529{col 26}{space 2} 1.085878{col 37}{space 1}   -0.80{col 46}{space 3}0.460{col 54}{space 4}-3.660092{col 67}{space 3} 1.922586
{txt}{space 8}cses {c |}{col 14}{res}{space 2} .1490202{col 26}{space 2} .9780713{col 37}{space 1}    0.15{col 46}{space 3}0.885{col 54}{space 4}-2.365192{col 67}{space 3} 2.663233
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.143486{col 26}{space 2} .8294486{col 37}{space 1}    1.38{col 46}{space 3}0.227{col 54}{space 4}-.9886797{col 67}{space 3} 3.275651
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo m36
{txt}
{com}. 
.         esttab using output_4b.rtf, b(3) se(3) se star(* 0.05  ** 0.01 *** 0.001) stats(N r2, fmt(0 3))
{res}{txt}(output written to {browse  `"output_4b.rtf"'})

{com}. 
.         eststo clear
{txt}
{com}. 
. 
. 
. *********************************************************************************
. ************** Table A18: Correlation analysis with additional measures **********
. *********************************************************************************
. 
. pwcorr ethg grg low_ratio CL_low1_overlap lbgi1 betweenstd SEI ggini, obs

             {txt}{c |}     ethg      grg low_ra~o CL_low~p    lbgi1 betwee~d      SEI
{hline 13}{c +}{hline 63}
        ethg {c |} {res}  1.0000 
             {txt}{c |}{res}      519
             {txt}{c |}
         grg {c |} {res}  0.7522   1.0000 
             {txt}{c |}{res}      519      519
             {txt}{c |}
   low_ratio {c |} {res}  0.1568   0.1584   1.0000 
             {txt}{c |}{res}      295      295     3042
             {txt}{c |}
CL_low1_ov~p {c |} {res}  0.3382   0.3179   0.5343   1.0000 
             {txt}{c |}{res}      228      228     2346     4517
             {txt}{c |}
       lbgi1 {c |} {res}  0.0052  -0.1938   0.1209   0.2016   1.0000 
             {txt}{c |}{res}      102      102      970     1364     1641
             {txt}{c |}
  betweenstd {c |} {res}       .        .   0.0442   0.1601   0.0059   1.0000 
             {txt}{c |}{res}        0        0       46       40       30       46
             {txt}{c |}
         SEI {c |} {res}  0.5533   0.4693   0.0529   0.1770   0.3126   0.6389   1.0000 
             {txt}{c |}{res}      484      484     3042     4516     1641       46    18157
             {txt}{c |}
       ggini {c |} {res}  0.4004   0.3098  -0.0729   0.1127   0.2953   0.0464   0.1739 
             {txt}{c |}{res}      160      160     1380     2296      750       21     3983
             {txt}{c |}

             {c |}    ggini
{hline 13}{c +}{hline 9}
       ggini {c |} {res}  1.0000 
             {txt}{c |}{res}     4254
             {txt}{c |}

{com}. matrix list r(C), format(%4.2f)
{res}
{txt}symmetric r(C)[8,8]
                      ethg           grg     low_ratio  CL_low1_ov~p         lbgi1    betweenstd           SEI         ggini
        ethg {res}         1.00
{txt}         grg {res}         0.75          1.00
{txt}   low_ratio {res}         0.16          0.16          1.00
{txt}CL_low1_ov~p {res}         0.34          0.32          0.53          1.00
{txt}       lbgi1 {res}         0.01         -0.19          0.12          0.20          1.00
{txt}  betweenstd {res}            .             .          0.04          0.16          0.01          1.00
{txt}         SEI {res}         0.55          0.47          0.05          0.18          0.31          0.64          1.00
{txt}       ggini {res}         0.40          0.31         -0.07          0.11          0.30          0.05          0.17          1.00
{reset}
{com}. 
.         
. 
. ********************************************************************
. ************** Figure A14: Index ************************************
. ********************************************************************
. 
. **** Create Index
. alpha SEI ethg_ip, generate(index) std

{txt}Test scale = mean(standardized items)

Average interitem correlation:{col 34}{res}   0.5600
{txt}Number of items in the scale:{col 34}{res}        2
{txt}Scale reliability coefficient:{col 34}{res}   0.7179
{txt}
{com}. sum index if year ==2000, detail

                  {txt}mean(standardized items)
{hline 61}
      Percentiles      Smallest
 1%    {res}-1.726468      -2.032344
{txt} 5%    {res}-1.530491      -1.726468
{txt}10%    {res}-1.365621      -1.709351       {txt}Obs         {res}        188
{txt}25%    {res}-1.098218      -1.676939       {txt}Sum of Wgt. {res}        188

{txt}50%    {res}-.2856906                      {txt}Mean          {res}-.3206393
                        {txt}Largest       Std. Dev.     {res} .8253661
{txt}75%    {res} .3439554       1.103266
{txt}90%    {res} .8159977       1.155961       {txt}Variance      {res} .6812292
{txt}95%    {res} .9959905       1.167596       {txt}Skewness      {res} .0185986
{txt}99%    {res} 1.167596       1.232299       {txt}Kurtosis      {res} 1.818517
{txt}
{com}. 
. *Create map: Requires file "worldcoor.dta" in same folder
. spmap index using worldcoor.dta if year ==2000, id(map_id) fcolor(Blues2) osize(vvthin vvthin vvthin vvthin) ndsize(vvthin) clmethod(quantile) title("")
{res}{txt}
{com}. 
. graph export Figure_A14.png, width(4000) replace
{txt}(note: file Figure_A14.png not found)
(file Figure_A14.png written in PNG format)

{com}.                 
.                 
. ****************************************************************************
. ********* Figure A15: Replication analyses with index: coefplot *************
. ****************************************************************************
. 
. xi: areg  lnrgdppcch2000        index, a(region) robust
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       173
{txt}Absorbed variable: {bf:region}{col 49}No. of categories{col 67}= {res}         8
{txt}{col 49}F({res}   1{txt},{res}    164{txt}){col 67}= {res}     45.08
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.7093
{txt}{col 49}Adj R-squared{col 67}= {res}    0.6951
{txt}{col 49}Root MSE{col 67}= {res}    0.7493

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}lnrgdpp~2000{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}index {c |}{col 14}{res}{space 2}-.6502666{col 26}{space 2} .0968535{col 37}{space 1}   -6.71{col 46}{space 3}0.000{col 54}{space 4}-.8415071{col 67}{space 3} -.459026
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 8.261062{col 26}{space 2}  .062658{col 37}{space 1}  131.84{col 46}{space 3}0.000{col 54}{space 4} 8.137342{col 67}{space 3} 8.384783
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo m101
{txt}
{com}. 
. probit autocracy index lwgi1 c.index#c.lwgi1 loilincome lethnici lgdptreis lonegrowthtreis lmoslemi lwpch lagedem sizedom western share if ldemocracy==1, cluster(cowcode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-183.54683}  
Iteration 1:{space 3}log pseudolikelihood = {res:-147.99093}  
Iteration 2:{space 3}log pseudolikelihood = {res:-140.78962}  
Iteration 3:{space 3}log pseudolikelihood = {res:-140.21503}  
Iteration 4:{space 3}log pseudolikelihood = {res:-140.19575}  
Iteration 5:{space 3}log pseudolikelihood = {res: -140.1957}  
Iteration 6:{space 3}log pseudolikelihood = {res: -140.1957}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}     1,607
{txt}{col 49}Wald chi2({res}13{txt}){col 67}= {res}    120.54
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res} -140.1957{txt}{col 49}Pseudo R2{col 67}= {res}    0.2362

{txt}{ralign 81:(Std. Err. adjusted for {res:71} clusters in cowcode)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}      autocracy{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}index {c |}{col 17}{res}{space 2}  .964701{col 29}{space 2} .4542331{col 40}{space 1}    2.12{col 49}{space 3}0.034{col 57}{space 4} .0744205{col 70}{space 3} 1.854981
{txt}{space 10}lwgi1 {c |}{col 17}{res}{space 2} 2.475999{col 29}{space 2} .9346711{col 40}{space 1}    2.65{col 49}{space 3}0.008{col 57}{space 4}  .644077{col 70}{space 3}  4.30792
{txt}{space 15} {c |}
c.index#c.lwgi1 {c |}{col 17}{res}{space 2} -2.17138{col 29}{space 2} 1.180179{col 40}{space 1}   -1.84{col 49}{space 3}0.066{col 57}{space 4}-4.484489{col 70}{space 3} .1417295
{txt}{space 15} {c |}
{space 5}loilincome {c |}{col 17}{res}{space 2}-.1182673{col 29}{space 2} .2049225{col 40}{space 1}   -0.58{col 49}{space 3}0.564{col 57}{space 4} -.519908{col 70}{space 3} .2833734
{txt}{space 7}lethnici {c |}{col 17}{res}{space 2}-.0130611{col 29}{space 2} .0068957{col 40}{space 1}   -1.89{col 49}{space 3}0.058{col 57}{space 4}-.0265764{col 70}{space 3} .0004542
{txt}{space 6}lgdptreis {c |}{col 17}{res}{space 2}-.0546838{col 29}{space 2}  .176368{col 40}{space 1}   -0.31{col 49}{space 3}0.757{col 57}{space 4}-.4003587{col 70}{space 3} .2909911
{txt}lonegrowthtreis {c |}{col 17}{res}{space 2} .0232744{col 29}{space 2} .0213518{col 40}{space 1}    1.09{col 49}{space 3}0.276{col 57}{space 4}-.0185744{col 70}{space 3} .0651231
{txt}{space 7}lmoslemi {c |}{col 17}{res}{space 2} .0025362{col 29}{space 2} .0025743{col 40}{space 1}    0.99{col 49}{space 3}0.325{col 57}{space 4}-.0025095{col 70}{space 3} .0075818
{txt}{space 10}lwpch {c |}{col 17}{res}{space 2}-3.811521{col 29}{space 2} .7798969{col 40}{space 1}   -4.89{col 49}{space 3}0.000{col 57}{space 4}-5.340091{col 70}{space 3}-2.282952
{txt}{space 8}lagedem {c |}{col 17}{res}{space 2}-.0099929{col 29}{space 2} .0067814{col 40}{space 1}   -1.47{col 49}{space 3}0.141{col 57}{space 4}-.0232842{col 70}{space 3} .0032984
{txt}{space 8}sizedom {c |}{col 17}{res}{space 2}-1.545446{col 29}{space 2} .4930426{col 40}{space 1}   -3.13{col 49}{space 3}0.002{col 57}{space 4}-2.511791{col 70}{space 3}-.5790998
{txt}{space 8}western {c |}{col 17}{res}{space 2}-.3213375{col 29}{space 2} .5133056{col 40}{space 1}   -0.63{col 49}{space 3}0.531{col 57}{space 4}-1.327398{col 70}{space 3}  .684723
{txt}{space 10}share {c |}{col 17}{res}{space 2} .2158608{col 29}{space 2} .2431061{col 40}{space 1}    0.89{col 49}{space 3}0.375{col 57}{space 4}-.2606183{col 70}{space 3} .6923399
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} 1.009802{col 29}{space 2} 1.720065{col 40}{space 1}    0.59{col 49}{space 3}0.557{col 57}{space 4}-2.361465{col 70}{space 3} 4.381068
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo m102
{txt}
{com}. 
. logit NSAonset index sip2l mgini_intx max_rexcll  $CONTROLS1 $TIME1 if year>1990, cl(country_id) nolog
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     2,467
{txt}{col 49}Wald chi2({res}12{txt}){col 67}= {res}     68.34
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res} -312.3194{txt}{col 49}Pseudo R2{col 67}= {res}    0.1152

{txt}{ralign 78:(Std. Err. adjusted for {res:138} clusters in country_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    NSAonset{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}index {c |}{col 14}{res}{space 2}-.0234537{col 26}{space 2}   .26366{col 37}{space 1}   -0.09{col 46}{space 3}0.929{col 54}{space 4}-.5402179{col 67}{space 3} .4933105
{txt}{space 7}sip2l {c |}{col 14}{res}{space 2}-.2676423{col 26}{space 2} .5062328{col 37}{space 1}   -0.53{col 46}{space 3}0.597{col 54}{space 4} -1.25984{col 67}{space 3} .7245558
{txt}{space 2}mgini_intx {c |}{col 14}{res}{space 2}-.0199684{col 26}{space 2} .0159869{col 37}{space 1}   -1.25{col 46}{space 3}0.212{col 54}{space 4}-.0513021{col 67}{space 3} .0113653
{txt}{space 2}max_rexcll {c |}{col 14}{res}{space 2}-.1677039{col 26}{space 2} .7531232{col 37}{space 1}   -0.22{col 46}{space 3}0.824{col 54}{space 4}-1.643798{col 67}{space 3} 1.308391
{txt}{space 5}ethfrac {c |}{col 14}{res}{space 2} .7951266{col 26}{space 2} .5586981{col 37}{space 1}    1.42{col 46}{space 3}0.155{col 54}{space 4}-.2999015{col 67}{space 3} 1.890155
{txt}{space 8}lpop {c |}{col 14}{res}{space 2} .1936614{col 26}{space 2} .1141848{col 37}{space 1}    1.70{col 46}{space 3}0.090{col 54}{space 4}-.0301367{col 67}{space 3} .4174595
{txt}{space 5}lgdppcl {c |}{col 14}{res}{space 2} -.175892{col 26}{space 2} .1961623{col 37}{space 1}   -0.90{col 46}{space 3}0.370{col 54}{space 4}-.5603631{col 67}{space 3} .2085791
{txt}{space 4}lonshist {c |}{col 14}{res}{space 2} .4605221{col 26}{space 2} .3139661{col 37}{space 1}    1.47{col 46}{space 3}0.142{col 54}{space 4}-.1548402{col 67}{space 3} 1.075884
{txt}{space 5}pyr_NSA {c |}{col 14}{res}{space 2} .3235111{col 26}{space 2} .1194146{col 37}{space 1}    2.71{col 46}{space 3}0.007{col 54}{space 4} .0894629{col 67}{space 3} .5575594
{txt}{space 4}NSA_spl1 {c |}{col 14}{res}{space 2} .0133639{col 26}{space 2} .0041487{col 37}{space 1}    3.22{col 46}{space 3}0.001{col 54}{space 4} .0052326{col 67}{space 3} .0214951
{txt}{space 4}NSA_spl2 {c |}{col 14}{res}{space 2}-.0036826{col 26}{space 2} .0011207{col 37}{space 1}   -3.29{col 46}{space 3}0.001{col 54}{space 4}-.0058792{col 67}{space 3} -.001486
{txt}{space 4}NSA_spl3 {c |}{col 14}{res}{space 2} .0006619{col 26}{space 2} .0002149{col 37}{space 1}    3.08{col 46}{space 3}0.002{col 54}{space 4} .0002407{col 67}{space 3} .0010832
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-3.566114{col 26}{space 2}  1.93043{col 37}{space 1}   -1.85{col 46}{space 3}0.065{col 54}{space 4}-7.349688{col 67}{space 3}   .21746
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo m103
{txt}
{com}. 
. reg pg index lngdpstd popstd polity2std afrobarom wvs cses, robust

{txt}Linear regression                               Number of obs     = {res}        46
                                                {txt}F(7, 38)          =  {res}   146.89
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.8872
                                                {txt}Root MSE          =    {res} .37136

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}          pg{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}index {c |}{col 14}{res}{space 2}-.4791626{col 26}{space 2} .1195107{col 37}{space 1}   -4.01{col 46}{space 3}0.000{col 54}{space 4}-.7210993{col 67}{space 3}-.2372258
{txt}{space 4}lngdpstd {c |}{col 14}{res}{space 2} .4727998{col 26}{space 2} .1619124{col 37}{space 1}    2.92{col 46}{space 3}0.006{col 54}{space 4} .1450253{col 67}{space 3} .8005742
{txt}{space 6}popstd {c |}{col 14}{res}{space 2}-.1075716{col 26}{space 2} .0572756{col 37}{space 1}   -1.88{col 46}{space 3}0.068{col 54}{space 4}  -.22352{col 67}{space 3} .0083769
{txt}{space 2}polity2std {c |}{col 14}{res}{space 2} .0119043{col 26}{space 2} .1303294{col 37}{space 1}    0.09{col 46}{space 3}0.928{col 54}{space 4}-.2519338{col 67}{space 3} .2757425
{txt}{space 3}afrobarom {c |}{col 14}{res}{space 2} -.599941{col 26}{space 2} .2934973{col 37}{space 1}   -2.04{col 46}{space 3}0.048{col 54}{space 4}-1.194095{col 67}{space 3}-.0057869
{txt}{space 9}wvs {c |}{col 14}{res}{space 2}-.2609941{col 26}{space 2} .1589073{col 37}{space 1}   -1.64{col 46}{space 3}0.109{col 54}{space 4}-.5826851{col 67}{space 3}  .060697
{txt}{space 8}cses {c |}{col 14}{res}{space 2}-.0033944{col 26}{space 2} .1579202{col 37}{space 1}   -0.02{col 46}{space 3}0.983{col 54}{space 4}-.3230872{col 67}{space 3} .3162984
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0192517{col 26}{space 2} .1016134{col 37}{space 1}    0.19{col 46}{space 3}0.851{col 54}{space 4}-.1864538{col 67}{space 3} .2249573
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo m104
{txt}
{com}. 
. coefplot (m101, label(Index / Alesina et al.)) (m102, label(Index / Houle)) (m103, label(Index / Cederman et al.)) (m104, label(Index / Baldwin and Huber)), keep(index) vertical yline(0) xtitle("") xlabel("") title("") scheme(plottig) graphregion(lcolor(black) lwidth(tiny))
{res}{p 0 4 2}
{txt}(note:  named style
tiny not found in class
linewidth,  default attributes used)
{p_end}
{com}{txt}{p 0 8} (note:  linewidth  {com}{txt}not found in scheme, default attributes used){p_end}
{res}{txt}
{com}. 
. graph export Figure_A15.png, width(4000) replace
{txt}(note: file Figure_A15.png not found)
(file Figure_A15.png written in PNG format)

{com}. 
. 
{txt}end of do-file

{com}. exit, clear
